At a glance:
TA1: Machine Learning and Signal Processing in Cognitive Radios
TA2: Basics of Sensor Networks and Security Issues
TA3: Towards the Vehicular Cloud: From Connected Cars to Smart Cities
TA4: Network Localization and Navigation: from Theory to Practice
TP1: Towards Energy-Efficient Hyper-Dense Wireless Networks with Trillions of Devices
TP2: Heterogeneous Statistical Quality-of-Service Provisioning Over Cognitive-Radio Based 5G Mobile Wireless Networks
TP3: Architectures, Models and Networks for Electric Vehicles in the Smart Grid
TP4: Green Cellular Communications: What Are the Potential Gains and How to Achieve Them?
Monday 9 March 2015 9:00 – 12:30
TA1: Machine Learning and Signal Processing in Cognitive Radios
Sudharman K. Jayaweera (Univ. of New Mexico)
Abstract
Future wireless communication systems will undoubtedly be based on Cognitive radios (CR) in some form or fashion. Cognitive radios are an evolution of software-defined radios (SDR). While SDR’s can be intelligent radios, what sets cognitive radios apart from SDR is their ability to learn and be self-aware. Thus, a cognitive radio architecture must necessarily consist of modules that support these functionalities.
Self-awareness is achieved through spectrum knowledge acquisition, in part called the spectrum sensing. The role of signal processing and machine learning in spectrum knowledge acquisition and subsequent use of such acquired knowledge in decision-making and radio reconfiguration cannot be over-emphasized. In fact, one may argue that it is signal processing and machine learning that give rise to cognition and intelligence in a radio. These algorithms form the brain and brain functions of a cognitive radio while an SDR platform acts as the body of the radio. This tutorial is motivated by the timeliness of emphasizing this aspect of cognitive radios.
The objective of this half-day tutorial is to discuss cognitive radios from the perspectives of signal processing and machine learning. This emphasize will be used to highlight the potential of cognitive radio technology to go far beyond what has perhaps been considered so far in literature. In particular, the focus is on future autonomous cognitive radios aimed at broader applications rather than simply dynamic spectrum sharing (DSS).
First, a functional architecture of a wideband cognitive radio that emphasizes the role of signal processing and machine learning will be identified. The tutorial will then focus on particular signal processing problems that are unique to cognitive radios, in particular those that are associated with the problem of spectrum knowledge acquisition which can be divided in to three sub-problems: Wideband spectrum scanning, spectral activity detection and signal classification and identification. The tutorial will develop a complete suite of signal processing in detail covering all three sub-problems by combining classical statistical signal processing with novel machine learning algorithms.
Overall, the tutorial will discuss limitations of existing techniques to meet the challenges posed by cognitive radios and then lay out a research plan in signal processing and machine learning for realizing the full potential of cognitive radios to be autonomous, intelligent and self-aware radios.
Presenter’s Biography
Born in Matara, Sri Lanka, Sudharman K. Jayaweera completed his high school education at the Rahula College, Matara, and was a science journalist at the Associated Newspapers Ceylon Limited (ANCL) till 1993. In 1997, he received the B.E. degree in Electrical and Electronic Engineering with First Class Honors from the University of Melbourne, Australia. He obtained his M.A. and PhD degrees in Electrical Engineering from Princeton University, USA in 2001 and 2003, respectively. A senior member of the IEEE, Dr. Jayaweera is currently an Associate Professor at the Department of Electrical and Computer Engineering at University of New Mexico, Albuquerque, NM where he is the Associate Chair and the Director of the Graduate Program. He has held fellowships at the Kirtland Air Force Research Laboratory Space Vehicles Directorate (summers of 2009-2011) and at the Naval Postgraduate School in Monterey, CA (part of 2013).
He was the keynote speaker at The 8th International conference on telecommunication system, services, and application (TSSA’14) held in Kuta Bali, Indonesia (Oct. 2014) and was the plenary speaker at IEEE Radio and Wireless Week held in Phoenix, AZ (January, 2011) and at the 6th IEEE International Conference in Industrial and Information Systems (ICIIS'2011) held in Kandy, Sri Lanka (Aug. 2011). His current research interests include cognitive and cooperative communications, machine learning, information theory of networked-control systems, statistical signal processing and control and optimization in smart-grid. His research has won 3 best paper awards at IEEE conferences. Dr. Jayaweera is the author of the Wiley book titled Signal Processing for Cognitive Radios published in 2014.
An editor of IEEE Transactions on Vehicular Technology, Dr. Jayaweera has served on organization and Technical Program Committees of numerous IEEE conferences. Most recently, he served as the Tutorial and Workshop Chair of the 2013 Fall IEEE Vehicular Technology Conference, Co-Chair of the Cognitive Radio and Networks Symposium at the IEEE Globecom 2015, Co-Chair of the Cognitive Radio Track at the 2015 Fall IEEE VTC, General Chair of the First Workshop on Wideband Mobile Cognitive Radios (WMCR) at the IEEE VTC Fall 2013 and the Publicity Chair of the 10th IEEE Broadband Wireless Access Workshop (BWA) at 2014 IEEE Globecom conference.
Monday 9 March 2015 9:00 – 12:30
TA2: Basics of Sensor Networks and Security Issues
Dharma P. Agrawal, (University of Cincinnati)
Abstract
Wireless Sensor Networks (WSNs) have been primarily introduced for defense application using a large number of wireless sensor nodes (SNs) and a Base Station (BS) to collect information from all SNs, making them useful for many civilian applications. A SN typically combines wireless radio transmitter-receiver and limited computation facilities with sensing of some physical phenomenon using different types of transducers. As there are many physical quantities to be monitored, different types of transducers are needed and possible use of sensors in various application areas are discussed first. Various characteristics of WSNs are covered. Specific details of energy consumption in functional units of MICA2 under different operating conditions are summarized. It is clear that more power is consumed in data communication as compared to local computation. With increased use of WSNs in civilian applications, there is a need to learn about how WSNs can be used as sensed area is easily accessible and SNs can be placed wherever desired.
Potential use of SNs in indicating the physiological condition of a soldier is also presented. Boundary of a wild forest fire is determined. Analytical model is introduced and obtained curves are compared with simulation results. Secured communication in a WSN is an important aspect ignored by researchers and an innovative technique of distributing keys for shared secret key based communication is described and various characteristics including resiliency are outlined. The need for layered sensing in providing security is also investigated and various alternatives in providing different levels of security are also investigated. Finally, applications of WSNs in unusual areas are also discussed.
Presenter’s Biography
Dharma P. Agrawal is the Ohio Board of Regents Distinguished Professor and the founding director for the Center for Distributed and Mobile Computing in EECS Department, University of Cincinnati, OH. He has been a faculty member at Carnegie Mellon University (on sabbatical leave), N.C. State University, Raleigh and the Wayne State University. His current research interests include applications of sensor networks in monitoring Parkinson’s disease patients and monitoring fitness of athletes’ personnel wellness and firefighter’s physical condition, efficient secured communication in Sensor networks, secured group communication in Vehicular Networks, and interference issues, heterogeneous wireless networks, and resource allocation and security in mesh networks for 5G technology. His has co-authored text books on Wireless and Mobile Systems (4th edition) and Ad hoc and Sensor Networks, 2nd edition.
He is a founding Editorial Board Member of several journals. He has been the Program Chair and General Chair for numerous international conferences and meetings. He was awarded a Third Millennium Medal, by the IEEE for his outstanding contributions. He has delivered keynote speech at 36 different international conferences. He has published over 661 papers, given 54 different tutorials and extensive training courses in various conferences in USA, and numerous institutions in Taiwan, Korea, Jordan, UAE, Malaysia, and India in the areas of Ad hoc and Sensor Networks and Mesh Networks. He has graduated 70 PhDs and 59 MS students. He has been named as an ISI Highly Cited Researcher, is a Fellow of the IEEE, the ACM, the AAAS and the World Innovation Foundation, and 2008 IEEE CS Harry Goode Award. In June 2011, he was selected as the best Mentor for Doctoral Students at the University of Cincinnati. In 2012, he was selected as a Founding fellow of the National Academy of Inventors.
Monday 9 March 2015 9:00 – 12:30
TA3: Towards the Vehicular Cloud: From Connected Cars to Smart Cities
Falko Dressler (Univ. of Paderborn)
Abstract
Looking back at the last decade, one can observe enormous progress in the domain of vehicular networking. In this growing community, many ongoing activities focus on the design of communication protocols to support safety applications, intelligent navigation, multi-player gaming and others. Very large projects have been initiated to validate the theoretic work in field tests and protocols are being standardized. With the increasing interest from industry, security and privacy have also become crucial aspects in the stage of protocol design in order to support a smooth and carefully planned roll-out. Researchers from academia and industry recently met at an international Dagstuhl seminar to discuss open research challenges as well as open issues related to market-oriented design. We are now entering an era that might change the game in road traffic management. This is supported by the U.S. federal government announcement in February 2014 that National Highway Traffic Safety Administration (NHTSA) plans to begin working on a regulatory proposal that would require V2V devices in new vehicles in a future year. This NHTSA announcement coincides with the final standardization of higher layer networking protocols in Europe by the ETSI.
From an industry point of view, vehicular networking serves as one of the most important enabling technologies required to implement a myriad of applications related to vehicles, vehicle traffic, drivers, passengers and pedestrians. In this tutorial we will look into applications and use cases of vehicular networking followed by an overview of the standardization activities.
We will primarily discuss the challenges and opportunities of the connected cars vision in relation to some of the most needed components in modern smart cities: improved road traffic safety combined with reduced travel times and emissions. Using selected application examples including the use of virtual traffic lights, intelligent intersection management, and platooning, we assess the needs on the underlying system components with a particular focus on inter-vehicle communication.
The tutorial is supported by a textbook on “Vehicular Networking” authored by Falko Dressler that will be published just ahead of the tutorial lecture by Cambridge Press.
Presenter’s Biography
Falko Dressler is a Full Professor for Computer Science and head of the Distributed Embedded Systems Group at the Dept. of Computer Science, University of Paderborn. Before moving to Paderborn, he was a Full Professor at the Institute of Computer Science, University of Innsbruck between 2011 and 2014, and an Assistant Professor at the Dept. of Computer Science, University of Erlangen. Dr. Dressler received his M.Sc. and Ph.D. degrees from the Dept. of Computer Science, University of Erlangen in 1998 and 2003, respectively.
He is an Editor for journals such as IEEE Trans. on Mobile Computing, Elsevier Ad Hoc Networks, Elsevier Computer Communications, and Elsevier Nano Communication Networks. He was Guest Editor of special issues on self-organization, autonomic networking, and bio-inspired communication for IEEE Journal on Selected Areas in Communications (JSAC), Elsevier Ad Hoc Networks, and others. Dr. Dressler was General Chair of IEEE/ACM BIONETICS 2007, IEEE/IFIP WONS 2011, and IEEE VNC 2014, TPC Co-Chair for IEEE VNC, IEEE VTC, IEEE GLOBECOM, and ACM MSWiM, Area TPC Chair for IEEE INFOCOM, and Poster/Demo Chair for ACM MobiCom. He regularly serves in the program committee of leading IEEE and ACM conferences. Dr. Dressler has been an IEEE Distinguished Lecturer as well as an ACM Distinguished Speaker in the fields of inter-vehicular communication, self-organization, and bio-inspired and nano-networking.
Dr. Dressler is a Senior Member of the IEEE (COMSOC, CS, VTS) as well as a Senior Member of ACM (SIGMOBILE), and member of GI (KuVS). He is actively participating in the IETF standardization. His research activities are focused on adaptive wireless networking and self-organization methods with applications in wireless ad hoc and sensor networks, vehicular networks, and nano-networking.
Monday 9 March 2015 9:00 – 12:30
TA4: Network Localization and Navigation: from Theory to Practice
Moe Z. Win (MIT), Andrea Conti (Univ. of Ferrara)
Abstract
Network localization and navigation (NLN) give rise to a new paradigm for enabling numerous new applications that exploit the positional information of mobile nodes. The coming years will see the emergence of high-definition location-awareness (HDLA) with sub-meter accuracy and minimal infrastructure requirements. We will cover three basic components of NLN: fundamental performance bounds; signal processing algorithms; and network experimentation. We will discuss the limitations of traditional positioning, and move on to the key enablers for HDLA: wideband transmission and cooperative processing. Fundamental bounds serve as performance benchmarks as well as a tool for network design. Cooperative algorithms are a way to achieve drastic performance improvements with respect to traditional non-cooperative positioning. Network experimentation provides insights that are essential for design and operation of NLN in a real-world setting.
Presenters’ Biographies
Moe Win is a Professor at the Massachusetts Institute of Technology (MIT). Prior to joining MIT, he was at AT&T Research Laboratories for five years and at the Jet Propulsion Laboratory for seven years. His research encompasses fundamental theories, algorithm design, and experimentation for a broad range of real-world problems. His current research topics include network localization and navigation, network interference exploitation, intrinsic wireless secrecy, adaptive diversity techniques, ultra-wide bandwidth systems, optical transmission systems, and space communications systems. Professor Win is an elected Member-at-Large on the IEEE Communications Society Board of Governors (2011-2013). He was the chair (2004-2006) and secretary (2002-2004) for the Radio Communications Committee of the IEEE Communications Society. Dr. Win is currently an Editor-at-Large for the Wireless Communications Letters. He served as Editor (2006–2012) for the IEEE Transactions on Wireless Communications, and as Area Editor (2003–2006) and Editor (1998–2006) for the IEEE Transactions on Communications. He was honored with two IEEE Technical Field Awards: the IEEE Kiyo Tomiyasu Award and the IEEE Eric E. Sumner Award. He received the International Prize for Communications Cristoforo Colombo, Copernicus Fellowship, the Royal Academy of Engineering Distinguished Visiting Fellowship, the Fulbright Fellowship, the Laurea Honoris Causa from the University of Ferrara, the Technical Recognition Award of the IEEE ComSoc Radio Communications Committee, and the U.S. Presidential Early Career Award for Scientists and Engineers. Professor Win is elected Fellow of the AAAS, the IEEE, and the IET, and was an IEEE Distinguished Lecturer.
Andrea Conti is an Associate Professor at the University of Ferrara. He was researcher at the Consorzio Nazionale Interuniversitario per le Telecomunicazioni (1999–2002) and at the Istituto di Elettronica e di Ingegneria dell’Informazione e delle Telecomunicazioni, Consiglio Nazionale delle Ricerche (2002–2005) with the Research Unit of Bologna. In Summer 2001, he was with the Wireless Systems Research De-partment at AT&T Research Laboratories. Since 2003, he has been a frequent visitor to the Wireless Communication and Network Sciences Laboratory at the Massachusetts Institute of Technology (MIT), where he presently holds the Research Affiliate appointment. He is a coauthor of Wireless Sensor and Actuator Networks: Enabling Technologies, Information Processing and Protocol Design (Elsevier, 2008). His research interests involve theory and experimentation of wireless systems and networks including network localization, adaptive diversity communications, cooperative relaying techniques, and network secrecy. He is recipient of the HTE Puskás Tivadar Medal and co-recipient of the IEEE Communications Society’s Stephen O. Rice Prize and the IEEE Communications Society’s Fred W. Ellersick Prize. Dr. Conti is is serving as an Associate Editor for the IEEE Wireless Communications Letters and served as an Associate Editor for the IEEE Transactions on Wireless Communications and for the for the IEEE Communications Letters. He organized and chaired a number of IEEE conferences. He is elected Chair of the IEEE Communications Society’s Radio Communications Technical Committee. He is an elected Fellow of the IET and has been selected as an IEEE Distinguished Lecturer.
Monday 9 March 2015 14:00 – 17:30
TP1: Towards Energy-Efficient Hyper-Dense Wireless Networks with Trillions of Devices
Ismail Guvenc (Florida Int’l Univ.), Abolfazl Mehbodniya (Tohoku Univ.), and Fumiyuki Adachi(Tohoku Univ.)
Abstract
The information and communication technology (ICT) data traffic is expected to increase 1,000 fold by 2020. This increasing demand is quickly draining the scarce radio resources and will eventually affect our nations' economy. This strongly motivates the need for intensive research on the next generation of wireless networks. Beyond conventional cellular data, machine-to machine (M2M) and device to device (D2D) communication will be responsible for a big portion of the wireless traffic in the next few years. Moreover, it is envisioned that M2M and D2D will increase the utilization of the cellular spectrum. This will, in turn, further strain existing wireless infrastructure and require novel designs. According to recent forecasts, there will be 12.5 billion inter-connected machine-type devices worldwide by the year 2020, up from 1.3 billion in 2012. For coping with such traffic growth, it is well known that the major technique for meeting a much needed 1000x capacity improvement will be a byproduct of massive network densification. The idea is to introduce heterogeneous networks (HetNets) having new, additional nodes, such as small cell base stations, deployed within local-area range and making the network closer to the end-users. The integration of macro/micro/pico/small cell base stations (SBSs) with disparate cell sizes and capabilities has also been a major research thrust for 5G wireless networks. Such hyper-dense and heterogeneous networks (HDHNs) can significantly improve spatial frequency reuse and coverage, thus meeting the wireless capacity crunch. For example, it is envisioned that a viral and hyper-dense deployment of low-cost small cells in the near future, with 200-300 small cells per typical macro cell coverage, approaching one-to-one ratio with the number of UEs.
The HDHNs are characterized by two unique features: a) massive number of devices, and b) highly dynamic environment. How to manage, operate, and optimize such hyper-dense, dynamic networks, in an energy-efficient and sustainable manner, is an important research challenge that has recently received significant research interest from both academia and industry. The main goal of this tutorial is to introduce different aspects of designing HDHNs with advanced capabilities while focusing on spectral-efficiency (SE) and energy-efficiency (EE). In particular, we will introduce a plethora of techniques that include stochastic geometry, fuzzy logic, and game-theory that are necessary for deploying and operating large-scale, self-organizing HDHNs with seamless mobility.
Presenters’ Biographies
Dr. Ismail Guvenc (senior member, IEEE) received his Ph.D. degree in electrical engineering from University of South Florida in 2006, with an outstanding dissertation award. He was with Mitsubishi Electric Research Labs during 2005, and with DOCOMO Innovations Inc. between 2006-2012, working as a research engineer. Since August 2012, he has been an assistant professor with Florida International University.
His recent research interests include heterogeneous wireless networks and future radio access beyond 4G wireless systems. He has published more than 90 conference and journal papers, and several standardization contributions. He co-authored/co-edited three books for Cambridge University Press, is an editor for IEEE Communications Letters and IEEE Wireless Communications Letters, and was a guest editor for four special issue journals/magazines on heterogeneous networks. Dr. Guvenc is an inventor/coinventor in 23 U.S. patents, and has another 4 pending U.S. patent applications. He is also a recipient of the 2014 Ralph E. Powe Junior Faculty Enhancement Award.
Abolfazl Mehbodniya received his Ph.D degree from the National Institute of Scientific Research-Energy, Materials, and Telecommunications (INRS-EMT), University of Quebec, Montreal, QC, Canada in 2010. From 2010 to 2012 he was a JSPS postdoctoral fellow at Tohoku University. Since Jan 2013, he has been an assistant professor at department of communications engineering, Tohoku University.
Dr. Mehbodniya has 10+ years of experience in electrical engineering, wireless communications, and project management. He has over 40 published conference and journal papers in the areas of radio resource management, sparse channel estimation, interference mitigation, short-range communications, 4G/5G design, OFDM, heterogeneous networks, artificial neural networks (ANNs) and fuzzy logic techniques with applications to algorithm and protocol design in wireless communications. He is the recipient of JSPS fellowship for foreign researchers, JSPS young faculty startup grant and KDDI foundation grant.
Fumiyuki Adachi received the B.S. and Dr. Eng. degrees in electrical engineering from Tohoku University, Sendai, Japan, in 1973 and 1984, respectively. In April 1973, he joined the Electrical Communications Laboratories of NTT and conducted various types of research related to digital cellular mobile communications. From July 1992 to December 1999, he was with NTT DoCoMo, where he led a research group on Wideband CDMA for 3G systems. Since January 2000, he has been with Tohoku University, Sendai, Japan, where he is a Distinguished Professor of Communications Engineering at the Graduate School of Engineering.
Professor Adachi is an IEEE Fellow and an IEICE Fellow. He is a pioneer in wireless communications since 1973 and has largely contributed to the design of wireless networks from 1 generation (1G) to 4G. He is listed on ISIHighlyCited.com and is an IEEE Vehicular Technology Society Distinguished Lecturer since 2012. He is a vice president of IEICE Japan since 2013. He was a recipient of the IEEE Vehicular Technology Society Avant Garde Award 2000, IEICE Achievement Award 2002, Thomson Scientific Research Front Award 2004, Ericsson Telecommunications Award 2008, Telecom System Technology Award 2010, Prime Minister Invention Award 2010, and KDDI Foundation Excellent Research Award 2012. His research interests include wireless signal processing for wireless access, equalization, transmit/receive antenna diversity, MIMO, adaptive transmission, channel coding, and wireless systems.
Monday 9 March 2015 14:00 – 17:30
TP2: Heterogeneous Statistical Quality-of-Service Provisioning Over Cognitive-Radio Based 5G Mobile Wireless Networks
Xi Zhang (Texas A&M Univ.)
Abstract
Recently, the cognitive radio (CR) technology has been recognized as one of promising
5G-candidate techniques for intelligent, flexible, and efficient spectrum accessing to significantly increase the spectrum efficiency in 5G wireless mobile networks, which enables the secondary users (unlicensed users) to opportunistically utilize the vacant spectrum not being used by the primary users (licensed users). Cognitive radio in 5G networks is typically built on the software-defined radio (SDR) technology, in which the transmitter’s operating parameters, such as the frequency range, modulation type, and maximum transmission power can be dynamically adjusted by software. In the cognitive-radio 5G networks, the secondary users can periodically scan and identify the leftover channels in the spectrum. Based on the scanned results, the secondary users dynamically tune their transceivers to the identified vacant spectrum to communicate among themselves while causing very limited interference to the primary users. Although the basic idea of cognitive-radio based 5G networks is simple, the efficient design of wireless cognitive radio networks imposes the new challenges that are not present in the conventional wireless networks. Specifically, identifying the time varying channel availability imposes a number of nontrivial design problems. One of the most difficult, but important, design problems is how the secondary users decide when and which channel they should tune to in order to transmit/receive the secondary users’ packets without affecting the communications among the primary users. This problem becomes even more challenging for QoS provisioning in cognitive-radio based 5G networks. In this tutorial, we will address the key issues and challenges, as well as the state-of-the-art theories and techniques for QoS-assurance wireless cognitive-radio based 5G networks. This tutorial will also cover a number of newly obtained results on the design of QoS-driven wireless cognitive-radio 5G networks with emphasis on PHY and MAC layers. Specifically, this tutorial will be conducted as follows:
1) We start with introducing the concept and motivation of the wireless cognitive radio networks. Then, we address the variant QoS performance metrics in the wireless cognitive-radio based 5G networks. Different types of dynamic spectrum access methods, namely, underlay, overlay, and interweave, will be introduced and compared. We also introduce the applications of wireless cognitive radio networks in the realistic world.
2) We present the cross-layer based opportunistic multi-channel MAC protocols for synchronous cognitive-radio 5G networks, which integrate the spectrum sensing policy at the PHY layer with packet scheduling at the MAC layer. To detect the availability of the leftover channels, we propose the following two channel sensing policies, i) the simple, but efficient, random sensing policy; ii) the performance-enhanced negotiation-based sensing policy. We show the analytical models to analyze the throughput and the delay-QoS performances of our proposed schemes for the saturation network and the non-saturation network cases, respectively. The channel-hopping based dynamic spectrum access schemes are also discussed. Furthermore, in the design perspective of the primary users, we present a packet scheduling scheme for the primary users in the context of wireless TDMA networks, which is set up to operate friendly towards the secondary users in terms of vacant-channel probability. We elucidate how to implement this secondary user friendly scheme with just slight modification on the traditional TDMA scheduling algorithm. We also present a rigorous queuing model and then quantitatively analyze the tradeoff among multiple performance metrics to identify when and where the cost for favoring the secondary users is worthy.
3) We discuss the asynchronous cognitive-radio based 5G networks, where the secondary users are not synchronized with the primary users. We present the adaptive code division multiple access (CDMA) based cognitive MAC scheme for uplink wireless cognitive radio networks. The proposed scheme addresses the joint channel sensing and data transmission, power and rate assignments, and long-term fairness. We explain how the secondary users can adaptively select either the intrusive spectrum sharing or non-intrusive spectrum sharing operations to transmit data to secondary base station based on the channel utilization, traffic load, and the interference constraints. We also discuss how to integrate the underlay and interweave spectrum accessing to guarantee QoS performance for secondary users in wireless cognitive radio networks.
Presenter’s Biography
Xi Zhang (S’89-SM’98) received the B.S. and M.S. degrees from Xidian University, Xi’an, China, the M.S. degree from Lehigh University, Bethlehem, PA, all in electrical engineering and computer science, and the Ph.D. degree in electrical engineering and computer science (Electrical Engineering- Systems) from The University of Michigan, Ann Arbor. He is currently a Full Professor and the Founding Director of the Networking and Information Systems Laboratory, Department of Electrical and Computer Engineering, Texas A&M University, College Station. He was a research fellow with the School of Electrical Engineering, University of Technology, Sydney, Australia, and the Department of Electrical and Computer Engineering, James Cook University, Australia. He was with the Networks and Distributed Systems Research Department, AT&T Bell Laboratories, Murray Hill, New Jersey, and AT&T Laboratories Research, Florham Park, New Jersey, in 1997.
He has published more than 270 research papers on wireless networks and communications systems, network protocol design and modeling, statistical communications, random signal processing, information theory, and control theory and systems. He received the U.S. National Science Foundation CAREER Award in 2004 for his research in the areas of mobile wireless and multicast networking and systems. He is an IEEE Communications Society Distinguished Lecturer and also an IEEE Vehicular Technology Society Distinguished Lecturer. He received Best Paper Awards at IEEE GLOBECOM 2007, IEEE GLOBECOM 2009, and IEEE WCNC 2010, respectively. He also received a TEES Select Young Faculty Award for Excellence in Research Performance from the Dwight Look College of Engineering at Texas A&M University, College Station, in 2006.
Prof. Zhang is serving or has served as an Editor for IEEE TRANSACTIONS ON COMMUNICATIONS, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, and IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,twice as a Guest Editor for IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS for two special issues on “Broadband Wireless Communications for High Speed Vehicles” and “Wireless Video Transmissions”, an Associate Editor for IEEE COMMUNICATIONS LETTERS, a Lead Guest Editor for IEEE Communications Magazine for two special issues on “Advances in Cooperative Wireless Networks” and “Underwater Wireless Communications and Networks: Theory and Applications”, a Guest Editor for IEEE Wireless Communications Magazine for special issue on “Next Generation CDMA vs. OFDMA for 4G Wireless Applications”, and an Editor for Wiley’s JOURNAL ON WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, JOURNAL OF COMPUTER SYSTEMS, NETWORKING, AND COMMUNICATIONS, and Wiley’s JOURNAL ON SECURITY AND COMMUNICATIONS NETWORKS, and an Area Editor for Elsevier’s JOURNAL ON COMPUTER COMMUNICATIONS, and among many others. He is serving or has served as the TPC Chair for IEEE GLOBECOM 2011, TPC Vice-Chair IEEE INFOCOM 2010, TPC Area Chair for IEEE INFOCOM 2012, Panel/Demo/Poster Chair for ACM MobiCom 2011, General Vice-Chair for IEEE WCNC 2013, Panel/Demo/Poster Chair for ACM MobiCom 2011, and TPC/General Chair for numerous other IEEE/ACM conferences, symposia, and workshops.
Monday 9 March 2015 14:00 – 17:30
TP3: Architectures, Models and Networks for Electric Vehicles in the Smart Grid
Hussein Mouftah (Univ. of Ottawa), Melike Erol-Kantarci (Clarkson Univ.)
Abstract
Worldwide electric vehicle sales are expected to be over 3.5 million annually by 2020 according to a Forbes forecast. A significant portion of those vehicles will be Plug-in Electric Vehicles (PEVs) that are plugged-in to the grid through a standard home outlet or to a charging station using a SAE J1772 connector. The volume of electric vehicle charging load is expected to be correlated with peak electricity usage which will dramatically impact the stability of the already stressed power grid. A large number of recent studies have addressed the uncontrolled charging problem and came up with novel architectures, models and networks that allow controlling the heavy PEV loads. Meanwhile, electric vehicle batteries can be considered as Distributed Energy Resources (DERs) once several batteries are controlled as one by an aggregator. This is usually referred to as vehicle-to-grid (V2G) while charging is known as grid-to-vehicle (G2V). V2G applications are expected to be predominant in microgrids which are small scale power grids with the ability to connect and disconnect to the power grid and those that may span a residential home, a building or a neighborhood.
In this tutorial we will first provide a comprehensive background on electric vehicles, batteries, electric vehicle supply equipment types, charging properties, in addition to fundamentals of operation of the generation, transmission and distribution in the smart grid. Then, we will lead the audience to the challenges of electric vehicle charging with in-depth presentation on its impacts on supply, ramping, renewable energy integration, regulation and distribution equipment (transformers, feeders, protection switches, etc.). Along with challenges, we will introduce the opportunities when charging occurs overnight and reduces start-up and ramping costs in the next morning and discuss the options of using electric vehicle batteries as a resource in the smart grid. Next, we will present the communication technologies and networks that are used for connecting electric vehicles to the smart grid communication networks. We will discuss both vehicle to charging station communications as well as charging station to smart grid communications and present wireless, powerline, Ethernet and optical-wireless solutions. The state-of-the-art research in architectures and analytical models for G2V and V2G applications will be introduced in detail in the following part of the tutorial. Aggregator architectures, queuing models, network calculus, optimization-based studies, algorithms and many other solutions from academia and industry will be introduced. As a natural extension of VANETs, Connected Electric Vehicles (CEVs) and adoption of VANET technologies in CEVs will be discussed thoroughly. Worldwide testbeds designed for evaluating advanced electric vehicle applications in microgrids and the smart grid will be introduced. Before closing, we will present open issues and future directions which will give valuable hints for the audience who are willing to pursue cutting-edge research in the electric vehicle and smart grid domains.
Presenters’ Biographies
Dr. Hussein T. Mouftah is a Distinguished University Professor and Senior Canada Research Chair in Wireless Sensor Networks at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He has been with the ECE Dept. at Queen's University (1979-2002), where he was prior to his departure a Full Professor and the Department Associate Head. He has six years of industrial experience mainly at Bell Northern Research of Ottawa (then known as Nortel Networks). He served as Editor-in-Chief of the IEEE Communications Magazine (1995-97) and IEEE ComSoc Director of Magazines (1998-99), Chair of the Awards Committee (2002-03), Director of Education (2006-07), and Member of the Board of Governors (1997-99 and 2006-07). He has been a Distinguished Speaker of the IEEE Communications Society (2000-2008). He is the author or coauthor of 9 books, 60 book chapters and more than 1300 technical papers, 12 patents and 140 industrial reports. He is the joint holder of 19 Best Paper and/or Outstanding Paper Awards. He has received numerous prestigious awards, such as the 2007 Royal Society of Canada Thomas W. Eadie Medal, the 2007-2008 University of Ottawa Award for Excellence in Research, the 2008 ORION Leadership Award of Merit, the 2006 IEEE Canada McNaughton Gold Medal, the 2006 EIC Julian Smith Medal, the 2004 IEEE ComSoc Edwin Howard Armstrong Achievement Award, the 2004 George S. Glinski Award for Excellence in Research of the U of O Faculty of Engineering, the 1989 Engineering Medal for Research and Development of the Association of Professional Engineers of Ontario (PEO), and the Ontario Distinguished Researcher Award of the Ontario Innovation Trust. Dr. Mouftah is a Fellow of the IEEE (1990), the Canadian Academy of Engineering (2003), the Engineering Institute of Canada (2005) and the Royal Society of Canada RSC Academy of Science (2008).
Melike Erol Kantarci is the coordinator of the Smart Grid Communications Lab and a postdoctoral fellow at the School of Electrical Engineering and Computer Science, University of Ottawa, Canada. She received the Ph.D. and M.Sc. degrees in Computer Engineering in 2009 and 2004, respectively. During her Ph.D. studies, she was a Fulbright visiting researcher at the Computer Science Department of the University of California Los Angeles (UCLA). She received the B.Sc. degree from the Department of Control and Computer Engineering at the Istanbul Technical University, in 2001. She has received a Fulbright PhD Research Scholarship (2006) and the Siemens Excellence Award (2004), and she has won two Outstanding/Best Paper Awards. She has delivered invited talks at various venues including Communications Research Center (CRC) of Canada, National Research Council (NRC) of Canada, IEEE Ottawa Chapter and Turkish Naval Research Center. She is an occasional reviewer of transactions and journals, and a TPC member for various conferences. Her main research interests are smart grid, cyber-physical systems, electrification of transportation, wireless sensor networks, underwater sensor networks, mobility modeling, localization and internet traffic analysis. She has over 700 citations and her h-index is 14 according to Google Scholar. She is an editor of International Journal of Distributed Sensor Networks published by Hindawi. She is an IEEE member and the vice chair for Women in Engineering (WIE) at the IEEE Ottawa Section.
Monday 9 March 2015 14:00 – 17:30
TP4: Green Cellular Communications: What Are the Potential Gains and How to Achieve Them?
Ender Ayanoglu (Univ. of California, Irvine)
Abstract
Conventional cellular wireless networks were designed with the purpose of providing high throughput for the user and high capacity for the service provider, without any provisions of energy efficiency. As a result, these networks have an enormous Carbon footprint. For example, only in the United States, the Carbon footprint of the cellular wireless industry is equal to that of about 3/4 million cars. In addition, the cellular network is highly inefficient and therefore a large part of the energy dissipated is wasted.
In this tutorial, we first analyze the energy dissipation in cellular wireless networks and point to sources of major inefficiency. We also discuss how much more mobile traffic is expected to increase so that this Carbon footprint will increase tremendously more. We then discuss potential sources of improvement at the physical layer as well as at higher layers of the communication protocol hierarchy. For the physical layer, we discuss new modulation formats and new device technologies and what they may bring in terms of energy efficiency gain. At higher layers, considering that most of the energy inefficiency in cellular wireless networks is at the base stations, we discuss multi-tier networks and point to the potential of exploiting mobility patterns in order to use base station energy judiciously. We discuss link adaptation and point to why energy efficiency, and not power efficiency, should be pursued and what it means for the choice of link rates. We show how much gain is possible by energy-efficient link rate adaptation. We describe the gains due to the exploitation of nonuniform traffic in space, relays and cooperation, device-to-device communications, multiple antenna techniques, and in particular coordinated multipoint and massive MIMO, sleeping modes for the base stations, the techniques of cell breathing and cell zooming, the energy trap problem for mobile terminals, and the potential approaches for video that provide energy efficiency. We also review several survey papers and books published on this topic. By a consideration of the combination of all potential gains, we conclude that an improvement in energy consumption in cellular wireless networks by orders of magnitude is possible. The tutorial will present in detail where to concentrate research to achieve the largest gains.
Presenter's Biography
Ender Ayanoglu received the M.S. and Ph.D. degrees from Stanford University, Stanford, CA. He was with the Communications Systems Research Laboratory, Bell Laboratories, Holmdel, NJ until 1999. During 1999-2002, he was a Systems Architect at Cisco Systems, Inc., San Jose, CA. Since 2002, he has been a Professor in the Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, where he served as the Director of the Center for Pervasive Communications and Computing and held the Conexant-Broadcom Endowed Chair during 2002-2010.
His past accomplishments include invention of the 56K modems, characterization of wavelength conversion gain in Wavelength Division Multiplexed (WDM) systems, and diversity coding, a technique for link failure recovery in communication networks employing erasure coding. During 2000-2001, he served as the founding chair of the IEEE-ISTO Broadband Wireless Internet Forum (BWIF), an industry standards organization which developed and built a broadband wireless system employing Orthogonal Frequency Division Multiplexing (OFDM) and a Media Access Control (MAC) algorithm with Quality-of-Service (QoS) guarantees. This system is the precursor of today’s Fourth Generation (4G) LTE systems. During 1993-2014 Dr. Ayanoglu was an Editor, and since January 2014 is a Senior Editor of the IEEE Transactions on Communications. He served as the Editor-in-Chief of the IEEE Transactions on Communications during 2004-2008. Currently he is serving as the Editor-in-Chief of the IEEE Journal on Selected Areas in Communications, Series on Green Communications and Networking. During 1990-2002, he served on the Executive Committee of the IEEE Communications Society Communication Theory Committee, and during 1999-2001, was its Chair. Dr. Ayanoglu is the recipient of the IEEE Communications Society Stephen O. Rice Prize Paper Award in 1995 and the IEEE Communications Society Best Tutorial Paper Award in 1997. He has been an IEEE Fellow since 1998.
TA1: Machine Learning and Signal Processing in Cognitive Radios
TA2: Basics of Sensor Networks and Security Issues
TA3: Towards the Vehicular Cloud: From Connected Cars to Smart Cities
TA4: Network Localization and Navigation: from Theory to Practice
TP1: Towards Energy-Efficient Hyper-Dense Wireless Networks with Trillions of Devices
TP2: Heterogeneous Statistical Quality-of-Service Provisioning Over Cognitive-Radio Based 5G Mobile Wireless Networks
TP3: Architectures, Models and Networks for Electric Vehicles in the Smart Grid
TP4: Green Cellular Communications: What Are the Potential Gains and How to Achieve Them?
Monday 9 March 2015 9:00 – 12:30
TA1: Machine Learning and Signal Processing in Cognitive Radios
Sudharman K. Jayaweera (Univ. of New Mexico)
Abstract
Future wireless communication systems will undoubtedly be based on Cognitive radios (CR) in some form or fashion. Cognitive radios are an evolution of software-defined radios (SDR). While SDR’s can be intelligent radios, what sets cognitive radios apart from SDR is their ability to learn and be self-aware. Thus, a cognitive radio architecture must necessarily consist of modules that support these functionalities.
Self-awareness is achieved through spectrum knowledge acquisition, in part called the spectrum sensing. The role of signal processing and machine learning in spectrum knowledge acquisition and subsequent use of such acquired knowledge in decision-making and radio reconfiguration cannot be over-emphasized. In fact, one may argue that it is signal processing and machine learning that give rise to cognition and intelligence in a radio. These algorithms form the brain and brain functions of a cognitive radio while an SDR platform acts as the body of the radio. This tutorial is motivated by the timeliness of emphasizing this aspect of cognitive radios.
The objective of this half-day tutorial is to discuss cognitive radios from the perspectives of signal processing and machine learning. This emphasize will be used to highlight the potential of cognitive radio technology to go far beyond what has perhaps been considered so far in literature. In particular, the focus is on future autonomous cognitive radios aimed at broader applications rather than simply dynamic spectrum sharing (DSS).
First, a functional architecture of a wideband cognitive radio that emphasizes the role of signal processing and machine learning will be identified. The tutorial will then focus on particular signal processing problems that are unique to cognitive radios, in particular those that are associated with the problem of spectrum knowledge acquisition which can be divided in to three sub-problems: Wideband spectrum scanning, spectral activity detection and signal classification and identification. The tutorial will develop a complete suite of signal processing in detail covering all three sub-problems by combining classical statistical signal processing with novel machine learning algorithms.
Overall, the tutorial will discuss limitations of existing techniques to meet the challenges posed by cognitive radios and then lay out a research plan in signal processing and machine learning for realizing the full potential of cognitive radios to be autonomous, intelligent and self-aware radios.
Presenter’s Biography
Born in Matara, Sri Lanka, Sudharman K. Jayaweera completed his high school education at the Rahula College, Matara, and was a science journalist at the Associated Newspapers Ceylon Limited (ANCL) till 1993. In 1997, he received the B.E. degree in Electrical and Electronic Engineering with First Class Honors from the University of Melbourne, Australia. He obtained his M.A. and PhD degrees in Electrical Engineering from Princeton University, USA in 2001 and 2003, respectively. A senior member of the IEEE, Dr. Jayaweera is currently an Associate Professor at the Department of Electrical and Computer Engineering at University of New Mexico, Albuquerque, NM where he is the Associate Chair and the Director of the Graduate Program. He has held fellowships at the Kirtland Air Force Research Laboratory Space Vehicles Directorate (summers of 2009-2011) and at the Naval Postgraduate School in Monterey, CA (part of 2013).
He was the keynote speaker at The 8th International conference on telecommunication system, services, and application (TSSA’14) held in Kuta Bali, Indonesia (Oct. 2014) and was the plenary speaker at IEEE Radio and Wireless Week held in Phoenix, AZ (January, 2011) and at the 6th IEEE International Conference in Industrial and Information Systems (ICIIS'2011) held in Kandy, Sri Lanka (Aug. 2011). His current research interests include cognitive and cooperative communications, machine learning, information theory of networked-control systems, statistical signal processing and control and optimization in smart-grid. His research has won 3 best paper awards at IEEE conferences. Dr. Jayaweera is the author of the Wiley book titled Signal Processing for Cognitive Radios published in 2014.
An editor of IEEE Transactions on Vehicular Technology, Dr. Jayaweera has served on organization and Technical Program Committees of numerous IEEE conferences. Most recently, he served as the Tutorial and Workshop Chair of the 2013 Fall IEEE Vehicular Technology Conference, Co-Chair of the Cognitive Radio and Networks Symposium at the IEEE Globecom 2015, Co-Chair of the Cognitive Radio Track at the 2015 Fall IEEE VTC, General Chair of the First Workshop on Wideband Mobile Cognitive Radios (WMCR) at the IEEE VTC Fall 2013 and the Publicity Chair of the 10th IEEE Broadband Wireless Access Workshop (BWA) at 2014 IEEE Globecom conference.
Monday 9 March 2015 9:00 – 12:30
TA2: Basics of Sensor Networks and Security Issues
Dharma P. Agrawal, (University of Cincinnati)
Abstract
Wireless Sensor Networks (WSNs) have been primarily introduced for defense application using a large number of wireless sensor nodes (SNs) and a Base Station (BS) to collect information from all SNs, making them useful for many civilian applications. A SN typically combines wireless radio transmitter-receiver and limited computation facilities with sensing of some physical phenomenon using different types of transducers. As there are many physical quantities to be monitored, different types of transducers are needed and possible use of sensors in various application areas are discussed first. Various characteristics of WSNs are covered. Specific details of energy consumption in functional units of MICA2 under different operating conditions are summarized. It is clear that more power is consumed in data communication as compared to local computation. With increased use of WSNs in civilian applications, there is a need to learn about how WSNs can be used as sensed area is easily accessible and SNs can be placed wherever desired.
Potential use of SNs in indicating the physiological condition of a soldier is also presented. Boundary of a wild forest fire is determined. Analytical model is introduced and obtained curves are compared with simulation results. Secured communication in a WSN is an important aspect ignored by researchers and an innovative technique of distributing keys for shared secret key based communication is described and various characteristics including resiliency are outlined. The need for layered sensing in providing security is also investigated and various alternatives in providing different levels of security are also investigated. Finally, applications of WSNs in unusual areas are also discussed.
Presenter’s Biography
Dharma P. Agrawal is the Ohio Board of Regents Distinguished Professor and the founding director for the Center for Distributed and Mobile Computing in EECS Department, University of Cincinnati, OH. He has been a faculty member at Carnegie Mellon University (on sabbatical leave), N.C. State University, Raleigh and the Wayne State University. His current research interests include applications of sensor networks in monitoring Parkinson’s disease patients and monitoring fitness of athletes’ personnel wellness and firefighter’s physical condition, efficient secured communication in Sensor networks, secured group communication in Vehicular Networks, and interference issues, heterogeneous wireless networks, and resource allocation and security in mesh networks for 5G technology. His has co-authored text books on Wireless and Mobile Systems (4th edition) and Ad hoc and Sensor Networks, 2nd edition.
He is a founding Editorial Board Member of several journals. He has been the Program Chair and General Chair for numerous international conferences and meetings. He was awarded a Third Millennium Medal, by the IEEE for his outstanding contributions. He has delivered keynote speech at 36 different international conferences. He has published over 661 papers, given 54 different tutorials and extensive training courses in various conferences in USA, and numerous institutions in Taiwan, Korea, Jordan, UAE, Malaysia, and India in the areas of Ad hoc and Sensor Networks and Mesh Networks. He has graduated 70 PhDs and 59 MS students. He has been named as an ISI Highly Cited Researcher, is a Fellow of the IEEE, the ACM, the AAAS and the World Innovation Foundation, and 2008 IEEE CS Harry Goode Award. In June 2011, he was selected as the best Mentor for Doctoral Students at the University of Cincinnati. In 2012, he was selected as a Founding fellow of the National Academy of Inventors.
Monday 9 March 2015 9:00 – 12:30
TA3: Towards the Vehicular Cloud: From Connected Cars to Smart Cities
Falko Dressler (Univ. of Paderborn)
Abstract
Looking back at the last decade, one can observe enormous progress in the domain of vehicular networking. In this growing community, many ongoing activities focus on the design of communication protocols to support safety applications, intelligent navigation, multi-player gaming and others. Very large projects have been initiated to validate the theoretic work in field tests and protocols are being standardized. With the increasing interest from industry, security and privacy have also become crucial aspects in the stage of protocol design in order to support a smooth and carefully planned roll-out. Researchers from academia and industry recently met at an international Dagstuhl seminar to discuss open research challenges as well as open issues related to market-oriented design. We are now entering an era that might change the game in road traffic management. This is supported by the U.S. federal government announcement in February 2014 that National Highway Traffic Safety Administration (NHTSA) plans to begin working on a regulatory proposal that would require V2V devices in new vehicles in a future year. This NHTSA announcement coincides with the final standardization of higher layer networking protocols in Europe by the ETSI.
From an industry point of view, vehicular networking serves as one of the most important enabling technologies required to implement a myriad of applications related to vehicles, vehicle traffic, drivers, passengers and pedestrians. In this tutorial we will look into applications and use cases of vehicular networking followed by an overview of the standardization activities.
We will primarily discuss the challenges and opportunities of the connected cars vision in relation to some of the most needed components in modern smart cities: improved road traffic safety combined with reduced travel times and emissions. Using selected application examples including the use of virtual traffic lights, intelligent intersection management, and platooning, we assess the needs on the underlying system components with a particular focus on inter-vehicle communication.
The tutorial is supported by a textbook on “Vehicular Networking” authored by Falko Dressler that will be published just ahead of the tutorial lecture by Cambridge Press.
Presenter’s Biography
Falko Dressler is a Full Professor for Computer Science and head of the Distributed Embedded Systems Group at the Dept. of Computer Science, University of Paderborn. Before moving to Paderborn, he was a Full Professor at the Institute of Computer Science, University of Innsbruck between 2011 and 2014, and an Assistant Professor at the Dept. of Computer Science, University of Erlangen. Dr. Dressler received his M.Sc. and Ph.D. degrees from the Dept. of Computer Science, University of Erlangen in 1998 and 2003, respectively.
He is an Editor for journals such as IEEE Trans. on Mobile Computing, Elsevier Ad Hoc Networks, Elsevier Computer Communications, and Elsevier Nano Communication Networks. He was Guest Editor of special issues on self-organization, autonomic networking, and bio-inspired communication for IEEE Journal on Selected Areas in Communications (JSAC), Elsevier Ad Hoc Networks, and others. Dr. Dressler was General Chair of IEEE/ACM BIONETICS 2007, IEEE/IFIP WONS 2011, and IEEE VNC 2014, TPC Co-Chair for IEEE VNC, IEEE VTC, IEEE GLOBECOM, and ACM MSWiM, Area TPC Chair for IEEE INFOCOM, and Poster/Demo Chair for ACM MobiCom. He regularly serves in the program committee of leading IEEE and ACM conferences. Dr. Dressler has been an IEEE Distinguished Lecturer as well as an ACM Distinguished Speaker in the fields of inter-vehicular communication, self-organization, and bio-inspired and nano-networking.
Dr. Dressler is a Senior Member of the IEEE (COMSOC, CS, VTS) as well as a Senior Member of ACM (SIGMOBILE), and member of GI (KuVS). He is actively participating in the IETF standardization. His research activities are focused on adaptive wireless networking and self-organization methods with applications in wireless ad hoc and sensor networks, vehicular networks, and nano-networking.
Monday 9 March 2015 9:00 – 12:30
TA4: Network Localization and Navigation: from Theory to Practice
Moe Z. Win (MIT), Andrea Conti (Univ. of Ferrara)
Abstract
Network localization and navigation (NLN) give rise to a new paradigm for enabling numerous new applications that exploit the positional information of mobile nodes. The coming years will see the emergence of high-definition location-awareness (HDLA) with sub-meter accuracy and minimal infrastructure requirements. We will cover three basic components of NLN: fundamental performance bounds; signal processing algorithms; and network experimentation. We will discuss the limitations of traditional positioning, and move on to the key enablers for HDLA: wideband transmission and cooperative processing. Fundamental bounds serve as performance benchmarks as well as a tool for network design. Cooperative algorithms are a way to achieve drastic performance improvements with respect to traditional non-cooperative positioning. Network experimentation provides insights that are essential for design and operation of NLN in a real-world setting.
Presenters’ Biographies
Moe Win is a Professor at the Massachusetts Institute of Technology (MIT). Prior to joining MIT, he was at AT&T Research Laboratories for five years and at the Jet Propulsion Laboratory for seven years. His research encompasses fundamental theories, algorithm design, and experimentation for a broad range of real-world problems. His current research topics include network localization and navigation, network interference exploitation, intrinsic wireless secrecy, adaptive diversity techniques, ultra-wide bandwidth systems, optical transmission systems, and space communications systems. Professor Win is an elected Member-at-Large on the IEEE Communications Society Board of Governors (2011-2013). He was the chair (2004-2006) and secretary (2002-2004) for the Radio Communications Committee of the IEEE Communications Society. Dr. Win is currently an Editor-at-Large for the Wireless Communications Letters. He served as Editor (2006–2012) for the IEEE Transactions on Wireless Communications, and as Area Editor (2003–2006) and Editor (1998–2006) for the IEEE Transactions on Communications. He was honored with two IEEE Technical Field Awards: the IEEE Kiyo Tomiyasu Award and the IEEE Eric E. Sumner Award. He received the International Prize for Communications Cristoforo Colombo, Copernicus Fellowship, the Royal Academy of Engineering Distinguished Visiting Fellowship, the Fulbright Fellowship, the Laurea Honoris Causa from the University of Ferrara, the Technical Recognition Award of the IEEE ComSoc Radio Communications Committee, and the U.S. Presidential Early Career Award for Scientists and Engineers. Professor Win is elected Fellow of the AAAS, the IEEE, and the IET, and was an IEEE Distinguished Lecturer.
Andrea Conti is an Associate Professor at the University of Ferrara. He was researcher at the Consorzio Nazionale Interuniversitario per le Telecomunicazioni (1999–2002) and at the Istituto di Elettronica e di Ingegneria dell’Informazione e delle Telecomunicazioni, Consiglio Nazionale delle Ricerche (2002–2005) with the Research Unit of Bologna. In Summer 2001, he was with the Wireless Systems Research De-partment at AT&T Research Laboratories. Since 2003, he has been a frequent visitor to the Wireless Communication and Network Sciences Laboratory at the Massachusetts Institute of Technology (MIT), where he presently holds the Research Affiliate appointment. He is a coauthor of Wireless Sensor and Actuator Networks: Enabling Technologies, Information Processing and Protocol Design (Elsevier, 2008). His research interests involve theory and experimentation of wireless systems and networks including network localization, adaptive diversity communications, cooperative relaying techniques, and network secrecy. He is recipient of the HTE Puskás Tivadar Medal and co-recipient of the IEEE Communications Society’s Stephen O. Rice Prize and the IEEE Communications Society’s Fred W. Ellersick Prize. Dr. Conti is is serving as an Associate Editor for the IEEE Wireless Communications Letters and served as an Associate Editor for the IEEE Transactions on Wireless Communications and for the for the IEEE Communications Letters. He organized and chaired a number of IEEE conferences. He is elected Chair of the IEEE Communications Society’s Radio Communications Technical Committee. He is an elected Fellow of the IET and has been selected as an IEEE Distinguished Lecturer.
Monday 9 March 2015 14:00 – 17:30
TP1: Towards Energy-Efficient Hyper-Dense Wireless Networks with Trillions of Devices
Ismail Guvenc (Florida Int’l Univ.), Abolfazl Mehbodniya (Tohoku Univ.), and Fumiyuki Adachi(Tohoku Univ.)
Abstract
The information and communication technology (ICT) data traffic is expected to increase 1,000 fold by 2020. This increasing demand is quickly draining the scarce radio resources and will eventually affect our nations' economy. This strongly motivates the need for intensive research on the next generation of wireless networks. Beyond conventional cellular data, machine-to machine (M2M) and device to device (D2D) communication will be responsible for a big portion of the wireless traffic in the next few years. Moreover, it is envisioned that M2M and D2D will increase the utilization of the cellular spectrum. This will, in turn, further strain existing wireless infrastructure and require novel designs. According to recent forecasts, there will be 12.5 billion inter-connected machine-type devices worldwide by the year 2020, up from 1.3 billion in 2012. For coping with such traffic growth, it is well known that the major technique for meeting a much needed 1000x capacity improvement will be a byproduct of massive network densification. The idea is to introduce heterogeneous networks (HetNets) having new, additional nodes, such as small cell base stations, deployed within local-area range and making the network closer to the end-users. The integration of macro/micro/pico/small cell base stations (SBSs) with disparate cell sizes and capabilities has also been a major research thrust for 5G wireless networks. Such hyper-dense and heterogeneous networks (HDHNs) can significantly improve spatial frequency reuse and coverage, thus meeting the wireless capacity crunch. For example, it is envisioned that a viral and hyper-dense deployment of low-cost small cells in the near future, with 200-300 small cells per typical macro cell coverage, approaching one-to-one ratio with the number of UEs.
The HDHNs are characterized by two unique features: a) massive number of devices, and b) highly dynamic environment. How to manage, operate, and optimize such hyper-dense, dynamic networks, in an energy-efficient and sustainable manner, is an important research challenge that has recently received significant research interest from both academia and industry. The main goal of this tutorial is to introduce different aspects of designing HDHNs with advanced capabilities while focusing on spectral-efficiency (SE) and energy-efficiency (EE). In particular, we will introduce a plethora of techniques that include stochastic geometry, fuzzy logic, and game-theory that are necessary for deploying and operating large-scale, self-organizing HDHNs with seamless mobility.
Presenters’ Biographies
Dr. Ismail Guvenc (senior member, IEEE) received his Ph.D. degree in electrical engineering from University of South Florida in 2006, with an outstanding dissertation award. He was with Mitsubishi Electric Research Labs during 2005, and with DOCOMO Innovations Inc. between 2006-2012, working as a research engineer. Since August 2012, he has been an assistant professor with Florida International University.
His recent research interests include heterogeneous wireless networks and future radio access beyond 4G wireless systems. He has published more than 90 conference and journal papers, and several standardization contributions. He co-authored/co-edited three books for Cambridge University Press, is an editor for IEEE Communications Letters and IEEE Wireless Communications Letters, and was a guest editor for four special issue journals/magazines on heterogeneous networks. Dr. Guvenc is an inventor/coinventor in 23 U.S. patents, and has another 4 pending U.S. patent applications. He is also a recipient of the 2014 Ralph E. Powe Junior Faculty Enhancement Award.
Abolfazl Mehbodniya received his Ph.D degree from the National Institute of Scientific Research-Energy, Materials, and Telecommunications (INRS-EMT), University of Quebec, Montreal, QC, Canada in 2010. From 2010 to 2012 he was a JSPS postdoctoral fellow at Tohoku University. Since Jan 2013, he has been an assistant professor at department of communications engineering, Tohoku University.
Dr. Mehbodniya has 10+ years of experience in electrical engineering, wireless communications, and project management. He has over 40 published conference and journal papers in the areas of radio resource management, sparse channel estimation, interference mitigation, short-range communications, 4G/5G design, OFDM, heterogeneous networks, artificial neural networks (ANNs) and fuzzy logic techniques with applications to algorithm and protocol design in wireless communications. He is the recipient of JSPS fellowship for foreign researchers, JSPS young faculty startup grant and KDDI foundation grant.
Fumiyuki Adachi received the B.S. and Dr. Eng. degrees in electrical engineering from Tohoku University, Sendai, Japan, in 1973 and 1984, respectively. In April 1973, he joined the Electrical Communications Laboratories of NTT and conducted various types of research related to digital cellular mobile communications. From July 1992 to December 1999, he was with NTT DoCoMo, where he led a research group on Wideband CDMA for 3G systems. Since January 2000, he has been with Tohoku University, Sendai, Japan, where he is a Distinguished Professor of Communications Engineering at the Graduate School of Engineering.
Professor Adachi is an IEEE Fellow and an IEICE Fellow. He is a pioneer in wireless communications since 1973 and has largely contributed to the design of wireless networks from 1 generation (1G) to 4G. He is listed on ISIHighlyCited.com and is an IEEE Vehicular Technology Society Distinguished Lecturer since 2012. He is a vice president of IEICE Japan since 2013. He was a recipient of the IEEE Vehicular Technology Society Avant Garde Award 2000, IEICE Achievement Award 2002, Thomson Scientific Research Front Award 2004, Ericsson Telecommunications Award 2008, Telecom System Technology Award 2010, Prime Minister Invention Award 2010, and KDDI Foundation Excellent Research Award 2012. His research interests include wireless signal processing for wireless access, equalization, transmit/receive antenna diversity, MIMO, adaptive transmission, channel coding, and wireless systems.
Monday 9 March 2015 14:00 – 17:30
TP2: Heterogeneous Statistical Quality-of-Service Provisioning Over Cognitive-Radio Based 5G Mobile Wireless Networks
Xi Zhang (Texas A&M Univ.)
Abstract
Recently, the cognitive radio (CR) technology has been recognized as one of promising
5G-candidate techniques for intelligent, flexible, and efficient spectrum accessing to significantly increase the spectrum efficiency in 5G wireless mobile networks, which enables the secondary users (unlicensed users) to opportunistically utilize the vacant spectrum not being used by the primary users (licensed users). Cognitive radio in 5G networks is typically built on the software-defined radio (SDR) technology, in which the transmitter’s operating parameters, such as the frequency range, modulation type, and maximum transmission power can be dynamically adjusted by software. In the cognitive-radio 5G networks, the secondary users can periodically scan and identify the leftover channels in the spectrum. Based on the scanned results, the secondary users dynamically tune their transceivers to the identified vacant spectrum to communicate among themselves while causing very limited interference to the primary users. Although the basic idea of cognitive-radio based 5G networks is simple, the efficient design of wireless cognitive radio networks imposes the new challenges that are not present in the conventional wireless networks. Specifically, identifying the time varying channel availability imposes a number of nontrivial design problems. One of the most difficult, but important, design problems is how the secondary users decide when and which channel they should tune to in order to transmit/receive the secondary users’ packets without affecting the communications among the primary users. This problem becomes even more challenging for QoS provisioning in cognitive-radio based 5G networks. In this tutorial, we will address the key issues and challenges, as well as the state-of-the-art theories and techniques for QoS-assurance wireless cognitive-radio based 5G networks. This tutorial will also cover a number of newly obtained results on the design of QoS-driven wireless cognitive-radio 5G networks with emphasis on PHY and MAC layers. Specifically, this tutorial will be conducted as follows:
1) We start with introducing the concept and motivation of the wireless cognitive radio networks. Then, we address the variant QoS performance metrics in the wireless cognitive-radio based 5G networks. Different types of dynamic spectrum access methods, namely, underlay, overlay, and interweave, will be introduced and compared. We also introduce the applications of wireless cognitive radio networks in the realistic world.
2) We present the cross-layer based opportunistic multi-channel MAC protocols for synchronous cognitive-radio 5G networks, which integrate the spectrum sensing policy at the PHY layer with packet scheduling at the MAC layer. To detect the availability of the leftover channels, we propose the following two channel sensing policies, i) the simple, but efficient, random sensing policy; ii) the performance-enhanced negotiation-based sensing policy. We show the analytical models to analyze the throughput and the delay-QoS performances of our proposed schemes for the saturation network and the non-saturation network cases, respectively. The channel-hopping based dynamic spectrum access schemes are also discussed. Furthermore, in the design perspective of the primary users, we present a packet scheduling scheme for the primary users in the context of wireless TDMA networks, which is set up to operate friendly towards the secondary users in terms of vacant-channel probability. We elucidate how to implement this secondary user friendly scheme with just slight modification on the traditional TDMA scheduling algorithm. We also present a rigorous queuing model and then quantitatively analyze the tradeoff among multiple performance metrics to identify when and where the cost for favoring the secondary users is worthy.
3) We discuss the asynchronous cognitive-radio based 5G networks, where the secondary users are not synchronized with the primary users. We present the adaptive code division multiple access (CDMA) based cognitive MAC scheme for uplink wireless cognitive radio networks. The proposed scheme addresses the joint channel sensing and data transmission, power and rate assignments, and long-term fairness. We explain how the secondary users can adaptively select either the intrusive spectrum sharing or non-intrusive spectrum sharing operations to transmit data to secondary base station based on the channel utilization, traffic load, and the interference constraints. We also discuss how to integrate the underlay and interweave spectrum accessing to guarantee QoS performance for secondary users in wireless cognitive radio networks.
Presenter’s Biography
Xi Zhang (S’89-SM’98) received the B.S. and M.S. degrees from Xidian University, Xi’an, China, the M.S. degree from Lehigh University, Bethlehem, PA, all in electrical engineering and computer science, and the Ph.D. degree in electrical engineering and computer science (Electrical Engineering- Systems) from The University of Michigan, Ann Arbor. He is currently a Full Professor and the Founding Director of the Networking and Information Systems Laboratory, Department of Electrical and Computer Engineering, Texas A&M University, College Station. He was a research fellow with the School of Electrical Engineering, University of Technology, Sydney, Australia, and the Department of Electrical and Computer Engineering, James Cook University, Australia. He was with the Networks and Distributed Systems Research Department, AT&T Bell Laboratories, Murray Hill, New Jersey, and AT&T Laboratories Research, Florham Park, New Jersey, in 1997.
He has published more than 270 research papers on wireless networks and communications systems, network protocol design and modeling, statistical communications, random signal processing, information theory, and control theory and systems. He received the U.S. National Science Foundation CAREER Award in 2004 for his research in the areas of mobile wireless and multicast networking and systems. He is an IEEE Communications Society Distinguished Lecturer and also an IEEE Vehicular Technology Society Distinguished Lecturer. He received Best Paper Awards at IEEE GLOBECOM 2007, IEEE GLOBECOM 2009, and IEEE WCNC 2010, respectively. He also received a TEES Select Young Faculty Award for Excellence in Research Performance from the Dwight Look College of Engineering at Texas A&M University, College Station, in 2006.
Prof. Zhang is serving or has served as an Editor for IEEE TRANSACTIONS ON COMMUNICATIONS, IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, and IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,twice as a Guest Editor for IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS for two special issues on “Broadband Wireless Communications for High Speed Vehicles” and “Wireless Video Transmissions”, an Associate Editor for IEEE COMMUNICATIONS LETTERS, a Lead Guest Editor for IEEE Communications Magazine for two special issues on “Advances in Cooperative Wireless Networks” and “Underwater Wireless Communications and Networks: Theory and Applications”, a Guest Editor for IEEE Wireless Communications Magazine for special issue on “Next Generation CDMA vs. OFDMA for 4G Wireless Applications”, and an Editor for Wiley’s JOURNAL ON WIRELESS COMMUNICATIONS AND MOBILE COMPUTING, JOURNAL OF COMPUTER SYSTEMS, NETWORKING, AND COMMUNICATIONS, and Wiley’s JOURNAL ON SECURITY AND COMMUNICATIONS NETWORKS, and an Area Editor for Elsevier’s JOURNAL ON COMPUTER COMMUNICATIONS, and among many others. He is serving or has served as the TPC Chair for IEEE GLOBECOM 2011, TPC Vice-Chair IEEE INFOCOM 2010, TPC Area Chair for IEEE INFOCOM 2012, Panel/Demo/Poster Chair for ACM MobiCom 2011, General Vice-Chair for IEEE WCNC 2013, Panel/Demo/Poster Chair for ACM MobiCom 2011, and TPC/General Chair for numerous other IEEE/ACM conferences, symposia, and workshops.
Monday 9 March 2015 14:00 – 17:30
TP3: Architectures, Models and Networks for Electric Vehicles in the Smart Grid
Hussein Mouftah (Univ. of Ottawa), Melike Erol-Kantarci (Clarkson Univ.)
Abstract
Worldwide electric vehicle sales are expected to be over 3.5 million annually by 2020 according to a Forbes forecast. A significant portion of those vehicles will be Plug-in Electric Vehicles (PEVs) that are plugged-in to the grid through a standard home outlet or to a charging station using a SAE J1772 connector. The volume of electric vehicle charging load is expected to be correlated with peak electricity usage which will dramatically impact the stability of the already stressed power grid. A large number of recent studies have addressed the uncontrolled charging problem and came up with novel architectures, models and networks that allow controlling the heavy PEV loads. Meanwhile, electric vehicle batteries can be considered as Distributed Energy Resources (DERs) once several batteries are controlled as one by an aggregator. This is usually referred to as vehicle-to-grid (V2G) while charging is known as grid-to-vehicle (G2V). V2G applications are expected to be predominant in microgrids which are small scale power grids with the ability to connect and disconnect to the power grid and those that may span a residential home, a building or a neighborhood.
In this tutorial we will first provide a comprehensive background on electric vehicles, batteries, electric vehicle supply equipment types, charging properties, in addition to fundamentals of operation of the generation, transmission and distribution in the smart grid. Then, we will lead the audience to the challenges of electric vehicle charging with in-depth presentation on its impacts on supply, ramping, renewable energy integration, regulation and distribution equipment (transformers, feeders, protection switches, etc.). Along with challenges, we will introduce the opportunities when charging occurs overnight and reduces start-up and ramping costs in the next morning and discuss the options of using electric vehicle batteries as a resource in the smart grid. Next, we will present the communication technologies and networks that are used for connecting electric vehicles to the smart grid communication networks. We will discuss both vehicle to charging station communications as well as charging station to smart grid communications and present wireless, powerline, Ethernet and optical-wireless solutions. The state-of-the-art research in architectures and analytical models for G2V and V2G applications will be introduced in detail in the following part of the tutorial. Aggregator architectures, queuing models, network calculus, optimization-based studies, algorithms and many other solutions from academia and industry will be introduced. As a natural extension of VANETs, Connected Electric Vehicles (CEVs) and adoption of VANET technologies in CEVs will be discussed thoroughly. Worldwide testbeds designed for evaluating advanced electric vehicle applications in microgrids and the smart grid will be introduced. Before closing, we will present open issues and future directions which will give valuable hints for the audience who are willing to pursue cutting-edge research in the electric vehicle and smart grid domains.
Presenters’ Biographies
Dr. Hussein T. Mouftah is a Distinguished University Professor and Senior Canada Research Chair in Wireless Sensor Networks at the School of Electrical Engineering and Computer Science of the University of Ottawa, Canada. He has been with the ECE Dept. at Queen's University (1979-2002), where he was prior to his departure a Full Professor and the Department Associate Head. He has six years of industrial experience mainly at Bell Northern Research of Ottawa (then known as Nortel Networks). He served as Editor-in-Chief of the IEEE Communications Magazine (1995-97) and IEEE ComSoc Director of Magazines (1998-99), Chair of the Awards Committee (2002-03), Director of Education (2006-07), and Member of the Board of Governors (1997-99 and 2006-07). He has been a Distinguished Speaker of the IEEE Communications Society (2000-2008). He is the author or coauthor of 9 books, 60 book chapters and more than 1300 technical papers, 12 patents and 140 industrial reports. He is the joint holder of 19 Best Paper and/or Outstanding Paper Awards. He has received numerous prestigious awards, such as the 2007 Royal Society of Canada Thomas W. Eadie Medal, the 2007-2008 University of Ottawa Award for Excellence in Research, the 2008 ORION Leadership Award of Merit, the 2006 IEEE Canada McNaughton Gold Medal, the 2006 EIC Julian Smith Medal, the 2004 IEEE ComSoc Edwin Howard Armstrong Achievement Award, the 2004 George S. Glinski Award for Excellence in Research of the U of O Faculty of Engineering, the 1989 Engineering Medal for Research and Development of the Association of Professional Engineers of Ontario (PEO), and the Ontario Distinguished Researcher Award of the Ontario Innovation Trust. Dr. Mouftah is a Fellow of the IEEE (1990), the Canadian Academy of Engineering (2003), the Engineering Institute of Canada (2005) and the Royal Society of Canada RSC Academy of Science (2008).
Melike Erol Kantarci is the coordinator of the Smart Grid Communications Lab and a postdoctoral fellow at the School of Electrical Engineering and Computer Science, University of Ottawa, Canada. She received the Ph.D. and M.Sc. degrees in Computer Engineering in 2009 and 2004, respectively. During her Ph.D. studies, she was a Fulbright visiting researcher at the Computer Science Department of the University of California Los Angeles (UCLA). She received the B.Sc. degree from the Department of Control and Computer Engineering at the Istanbul Technical University, in 2001. She has received a Fulbright PhD Research Scholarship (2006) and the Siemens Excellence Award (2004), and she has won two Outstanding/Best Paper Awards. She has delivered invited talks at various venues including Communications Research Center (CRC) of Canada, National Research Council (NRC) of Canada, IEEE Ottawa Chapter and Turkish Naval Research Center. She is an occasional reviewer of transactions and journals, and a TPC member for various conferences. Her main research interests are smart grid, cyber-physical systems, electrification of transportation, wireless sensor networks, underwater sensor networks, mobility modeling, localization and internet traffic analysis. She has over 700 citations and her h-index is 14 according to Google Scholar. She is an editor of International Journal of Distributed Sensor Networks published by Hindawi. She is an IEEE member and the vice chair for Women in Engineering (WIE) at the IEEE Ottawa Section.
Monday 9 March 2015 14:00 – 17:30
TP4: Green Cellular Communications: What Are the Potential Gains and How to Achieve Them?
Ender Ayanoglu (Univ. of California, Irvine)
Abstract
Conventional cellular wireless networks were designed with the purpose of providing high throughput for the user and high capacity for the service provider, without any provisions of energy efficiency. As a result, these networks have an enormous Carbon footprint. For example, only in the United States, the Carbon footprint of the cellular wireless industry is equal to that of about 3/4 million cars. In addition, the cellular network is highly inefficient and therefore a large part of the energy dissipated is wasted.
In this tutorial, we first analyze the energy dissipation in cellular wireless networks and point to sources of major inefficiency. We also discuss how much more mobile traffic is expected to increase so that this Carbon footprint will increase tremendously more. We then discuss potential sources of improvement at the physical layer as well as at higher layers of the communication protocol hierarchy. For the physical layer, we discuss new modulation formats and new device technologies and what they may bring in terms of energy efficiency gain. At higher layers, considering that most of the energy inefficiency in cellular wireless networks is at the base stations, we discuss multi-tier networks and point to the potential of exploiting mobility patterns in order to use base station energy judiciously. We discuss link adaptation and point to why energy efficiency, and not power efficiency, should be pursued and what it means for the choice of link rates. We show how much gain is possible by energy-efficient link rate adaptation. We describe the gains due to the exploitation of nonuniform traffic in space, relays and cooperation, device-to-device communications, multiple antenna techniques, and in particular coordinated multipoint and massive MIMO, sleeping modes for the base stations, the techniques of cell breathing and cell zooming, the energy trap problem for mobile terminals, and the potential approaches for video that provide energy efficiency. We also review several survey papers and books published on this topic. By a consideration of the combination of all potential gains, we conclude that an improvement in energy consumption in cellular wireless networks by orders of magnitude is possible. The tutorial will present in detail where to concentrate research to achieve the largest gains.
Presenter's Biography
Ender Ayanoglu received the M.S. and Ph.D. degrees from Stanford University, Stanford, CA. He was with the Communications Systems Research Laboratory, Bell Laboratories, Holmdel, NJ until 1999. During 1999-2002, he was a Systems Architect at Cisco Systems, Inc., San Jose, CA. Since 2002, he has been a Professor in the Department of Electrical Engineering and Computer Science, University of California, Irvine, Irvine, CA, where he served as the Director of the Center for Pervasive Communications and Computing and held the Conexant-Broadcom Endowed Chair during 2002-2010.
His past accomplishments include invention of the 56K modems, characterization of wavelength conversion gain in Wavelength Division Multiplexed (WDM) systems, and diversity coding, a technique for link failure recovery in communication networks employing erasure coding. During 2000-2001, he served as the founding chair of the IEEE-ISTO Broadband Wireless Internet Forum (BWIF), an industry standards organization which developed and built a broadband wireless system employing Orthogonal Frequency Division Multiplexing (OFDM) and a Media Access Control (MAC) algorithm with Quality-of-Service (QoS) guarantees. This system is the precursor of today’s Fourth Generation (4G) LTE systems. During 1993-2014 Dr. Ayanoglu was an Editor, and since January 2014 is a Senior Editor of the IEEE Transactions on Communications. He served as the Editor-in-Chief of the IEEE Transactions on Communications during 2004-2008. Currently he is serving as the Editor-in-Chief of the IEEE Journal on Selected Areas in Communications, Series on Green Communications and Networking. During 1990-2002, he served on the Executive Committee of the IEEE Communications Society Communication Theory Committee, and during 1999-2001, was its Chair. Dr. Ayanoglu is the recipient of the IEEE Communications Society Stephen O. Rice Prize Paper Award in 1995 and the IEEE Communications Society Best Tutorial Paper Award in 1997. He has been an IEEE Fellow since 1998.