as the Technical Program Committee Chair of 1996 IEEE International. Symposium ... WiMAX Symposium in Orlando, 2009 IEEE Mobile WiMAX Symposium in.
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Guest Editorial Advances in Cognitive Radio Networking and Communications (I)
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VER the past decade, there has been a growing interest in cognitive radio (CR) — the technology that overcomes the spectrum scarcity problem resulting from the conventional approach of fixed spectrum allocation. A CR is able to learn the environment and to dynamically adapt its operating parameters to make best use of the available spectrum. This is achieved by equipping radio devices with enabling capabilities such as spectrum sensing, adaptive transmission, and software and hardware reconfigurability. At the system level, CR networks, formed by CR nodes, aim to make better usage of available spectrum to achieve higher end-to-end quality of service, e.g., in throughput and/or delay performance. However, building a fully-functioning CR network can be challenging due to designing multiple system components, including, but not limited to, spectrum sensing, physical layer schemes, MAC layer spectrum management, network layer routing and vertical handoff. Furthermore, these system components often interact in complex ways, which may require cross-layer design and control frameworks. The objective of this special issue is to bring together the state-of-art research results, designs, and industrial applications of CR networks and communications. We have received 110 paper submissions, and after a careful review process to assess the quality of the papers, we have accepted 37 papers, which will be published in this and the next J-SAC issue. In this issue, there are 18 papers, which cover spectrum sensing techniques, physical layer spectrum sharing optimization, cognitive radio design, and interference modeling. In the next issue of 19 papers, the topics include medium access control, routing and Quality-of-Service (QoS) support in cognitive radio networks, spectrum auction and trading, and security issues in cognitive radio. The first set of seven papers in this issue is related to spectrum sensing techniques. In “Capacity- and Bayesian-Based Cognitive Sensing with Location Side Information,” Jia, Vu, Le-Ngoc, Hong, and Tarokh investigate spectrum sensing using two different objective functions: Bayesian sensing cost and network weighted sum capacity, and propose both fading-dependent and fadingindependent threshold settings. In “Optimal and Sub-Optimal Spectrum Sensing of OFDM Signals in Known and Unknown Noise,” Axell and Larsson propose two methods for sensing OFDM signals in an AWGN channel: a Neyman- Pearson detector for the case with known noise and signal powers, and a generalized likelihood ratio test for the case with unknown signal and noise powers. Digital Object Identifier 10.1109/JSAC.2011.110201
In “A Novel Robust Detection Algorithm for Spectrum Sensing,” Lu, Wu, and Iyengar investigate digital television signal detection and propose a robust spectrum-sensing method based on the JB (Jarqur-Bera) statistic. In “Spectrum Sensing for TV White Space in North America,” Chen and Gao propose two algorithms for spectrum sensing: a unified signature based algorithm to detect the primary licensed signal including NTSC analog TV and ATSC digital TV signals, and an autocorrelation-based algorithm to detect the secondary licensed signals, such as wireless microphone signals. In “Collaborative Spectrum Sensing from Sparse Observations in Cognitive Radio Networks,” Meng, Yin, Li, Hossain, and Han address the collaborative sensing problem through considering the hardware limitations of each node, and apply matrix completion and joint sparsity recovery to reduce sensing and transmitting requirements. In “Distributed Cognitive Radio Network Management via Algorithms in Probabilistic Graphical Models,” Liang, Lai, and Halloran consider the case that a number of secondary users search for transmission opportunities by collaborative detection, and propose a solution to assign these users to detect different primary user bands for the purpose of maximizing the overall network performance. In “Detection of Small-Scale Primary Users in Cognitive Radio Networks,” Min, Zhang, and Shin propose a spectrum sensing scheme, called Detection, Location estimation, and transmit power estimation (DeLOC), to detect small-scale licensed users. The second set of six papers is related to the design and optimization of spectrum sharing from a physical layer perspective. In “Optimal Spectrum Sharing in MIMO Cognitive Radio Networks via Semidefinite Programming,” Zhang and So investigate the design of secondary link beamforming pattern that balances between the secondary users throughput and the interference it causes to primary users with complete, partial, or no knowledge about the channels to the primary receivers. In “Optimal Power Allocation Strategies for Fading Cognitive Radio Channels with Primary User Outage Constraint,” Kang, Zhang, Liang, and Garg propose an outage loss constraint to protect the primary users by limiting the maximum transmission outage probability of the primary user to be below a desired target. In “Cognitive Radio Through Primary Control Feedback,” Eswaran, Gastpar, and Ramchandran exploit the inherent flow control feedback of the primary systems, through which an information-theoretic model is introduced for CR design.
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In “Decentralized Cognitive Radio Control Based on Inference from Primary Link Control Information,” Huang, Liu, and Ding exploit the bidirectional interaction of primary communication links, and propose a distributed power control algorithm to achieve non-intrusive secondary spectrum access. In “Joint Network Capacity Region for Cognitive Networks Heterogeneous Environments and RF-Environment Awareness,” Kim and de Veciana characterize the joint network capacity region for a licensed broadcast (primary) and ad hoc cognitive (secondary) network in a heterogeneous environment. In “Spectrum Management in Multiuser Cognitive Wireless Networks: Optimality and Algorithm,” Tan, Friedland, and Low address the nonconvex NP-hard problem of maximizing a weighted sum rate in a multiuser Gaussian interference channel subject to affine power constraints. The third set of papers is related to cognitive radio design and interference modeling. In “A New Adaptive OFDM System with Precoded Cyclic Prefix for Dynamic Cognitive Radio Communications,” Wang, Li, and Lin propose a novel adaptive orthogonal frequency division multiplexing system with a precoded cyclic prefix to support a dynamic CR communication platform. In “Joint Dynamic Resource Allocation and Waveform Adaptation for Cognitive Networks,” Tian, Leus, and Lottici present a general framework adopting generalized signal expansion functions for representation of physical layer radio resources as well as for synthesis of transmitter and receiver waveforms. In “A Model-Based Approach to Cognitive Radio Design,” Lotze, Fahmy, Noguera, and Doyle introduce a design technique based on the high-level model which can be synthesized to various real radio platforms automatically with low complexity. In “Power Consumption Minimization for MIMO Systems A Cognitive Radio Approach,” He, Srikanteswara, Bae, Newman, Reed, Tranter, Sajadieh, and Verhelst address the problem of optimizing the MIMO system power consumption using the CR concept, i.e., the awareness of the component capabilities and characteristics. In “Cognitive Network Interference,” Rabbachin, Quek, Shin, and Win propose a statistical model for aggregate interference of secondary users to a primary user, which accounts for the sensing procedure, secondary spatial reuse protocol, and environment-dependent conditions such as path loss, shadowing, and channel fading. We would like to thank all of the authors who have submitted their papers to this Special Issue and the reviewers who have helped to evaluate the submissions. We would also like to express our great gratitude to Laurel Greenidge, Pamela Cosman, Martha Steenstrup, Sue Lange, Liying Li, and Yiyang Pei, who have provided significant help and support throughout the whole process. The guest editors are also grateful to Len Cimini for his kind guidance and advice during the paper review and decision process. Finally, we hope the contents of this Special Issue will inspire the readers to investigate many of the challenging and open problems in this field.
Ying-Chang Liang, Guest Editor Institute for Infocomm Research & Nanyang Technological University, Singapore Kwang-Cheng Chen, Guest Editor National Taiwan University, Taiwan Ye (Geoffrey) Li, Guest Editor Georgia Institute of Technology, USA Petri M¨ah¨onen, Guest Editor RWTH Aachen University, Germany Dusit Niyato, Guest Editor Nanyang Technological University, Singapore Len Cimini, J-SAC Board Representative
Ying-Chang Liang (SM00) is now a Senior Scientist with the Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), and holds an Associate Professorship position with Nanyang Technological University, both in Singapore. He was a visiting scholar with the Department of Electrical Engineering, Stanford University, from Dec 2002 to Dec 2003. His research interest includes cognitive radio, dynamic spectrum access, reconfigurable signal processing for broadband communications, space-time wireless communications, wireless networking, information theory and statistical signal processing. Dr. Liang is now an Associate Editor of IEEE Transactions on Vehicular Technology. He served as an Associate Editor of IEEE Transactions on Wireless Communications from 2002 to 2005, Lead Guest-Editor of IEEE Journal on Selected Areas in Communications, Special Issue on Cognitive Radio: Theory and Applications, and Special Issue on Advances in Cognitive Radio Networking and Communications, Lead Guest-Editor of EURASIP Journal on Advances in Signal Processing Special Issue on Advanced Signal Processing for Cognitive Radio, and Guest-Editor of COMPUTER NETWORKS Journal (Elsevier) Special Issue on Cognitive Wireless Networks. He received the Best Paper Awards from IEEE VTC-Fall in 1999, IEEE PIMRC in 2005, and EURASIP Journal on Wireless Communications and Networking in 2010. He also received the Institute of Engineers Singapore (IES) Prestigious Engineering Achievement Award in 2007. Dr Liang has served in the Public Sector Funding Review Panel of A*STAR’s Science and Engineering Research Council since 2005, and was the TPC Co-Chair of 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom08), TPC Co-Chair of 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN10), and Co-Chair, Thematic Program on Random matrix theory and its applications in statistics and wireless communications, Institute for Mathematical Sciences, National University of Singapore, 2006. Dr. Liang is a Senior Member of IEEE.
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Kwang-Cheng Chen received B.S. from the National Taiwan University in 1983, M.S. and Ph.D from the University of Maryland, College Park, United States, in 1987 and 1989, all in electrical engineering. From 1987 to 1998, Dr. Chen worked with SSE, COMSAT, IBM Thomas J. Watson Research Center, and National Tsing Hua University, in mobile communications and networks. Since 1998, Dr. Chen has been with National Taiwan University, Taipei, Taiwan, ROC, and is the Distinguished Professor and Director for the Graduate Institute of Communication Engineering, and Director for the Communication Research Center, National Taiwan University. Dr. Chen actively involves the technical organization of numerous leading IEEE conferences, including as the Technical Program Committee Chair of 1996 IEEE International Symposium on Personal Indoor Mobile Radio Communications, TPC cochair for IEEE Globecom 2002, General Co-Chair for 2007 IEEE Mobile WiMAX Symposium in Orlando, 2009 IEEE Mobile WiMAX Symposium in Napa Valley, IEEE 2010 Spring Vehicular Technology Conference, and IEEE Workshop on Social Networks 2010 and 2011. He has served editorship with many IEEE and international journals and served various positions in IEEE. Dr. Chen also actively participate various wireless international standards. He has authored and co-authored over 200 technical papers and 18 granted US patents. He co-edits (with R. DeMarca) the book Mobile WiMAX published by Wiley 2008, and authors a book Principles of Communications published by River 2009, and co-author (with R. Prasad) another book Cognitive Radio Networks published by Wiley 2009. Dr. Chen is an IEEE Fellow and receive a lot of awards including two paper awards for his IEEE publication. Dr. Chen’s research interests include wireless communications and network science.
Geoffrey Ye Li received his B.S.E. and M.S.E. degrees in 1983 and 1986, respectively, from the Department of Wireless Engineering, Nanjing Institute of Technology, Nanjing, China, and his Ph.D. degree in 1994 from the Department of Electrical Engineering, Auburn University, Alabama. He was a Teaching Assistant and then a Lecturer with Southeast University, Nanjing, China, from 1986 to 1991, a Research and Teaching Assistant with Auburn University, Alabama, from 1991 to 1994, and a PostDoctoral Research Associate with the University of Maryland at College Park, Maryland, from 1994 to 1996. He was with AT&T Labs - Research at Red Bank, New Jersey, as a Senior and then a Principal Technical Staff Member from 1996 to 2000. Since 2000, he has been with the School of Electrical and Computer Engineering at Georgia Institute of Technology as an Associate and then a Full Professor. He is also holding the Cheung Kong Scholar title at the University of Electronic Science and Technology of China since March 2006. His general research interests include statistical signal processing and telecommunications, with emphasis on OFDM and MIMO techniques, cross-layer optimization, and signal processing issues in cognitive radios. In these areas, he has published about 200 papers in refereed journals or conferences and filed about 20 patents. He also has two books. He once served or is currently serving as an editor, a member of editorial board, and a guest editor for about 10 technical journals. He organized and chaired many international conferences, including technical program vice-chair of the IEEE 2003 International Conference on Communications. He has been awarded an IEEE Fellow for his contributions to signal processing for wireless communications in 2005, selected as a Distinguished Lecturer from 2009 - 2010 by IEEE Communications Society, and won 2010 IEEE Communications Society Stephen O. Rice Prize Paper Award in the field of communications theory.
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Petri M¨ah¨onen is a full professor and head of Institute for Networked Systems at the RWTH Aachen University. He joined the faculty in 2002 as Ericsson Chair of Wireless Networks. He has worked and studied at the United Kingdom, the USA and Finland. His scientific interests include cognitive radio systems, networking and wireless communications, spatial statistic, and analysis of complex networks. He is with his group active both in theoretical and experimental research topics. He is a senior member of IEEE and ACM, and a fellow of RAS. He has received a number of personal grants and was awarded in 2006 Telenor Research Prize. He is serving in the editorial board of IEEE Transactions on Mobile Computing and is an area editor for Elsevier Journal of Computer Communications. He has been also a guest editor for a number of IEEE journals. He is also serving as scientific advisor or consultant for different international companies and research centers. He has also served as the chair or program committee member for numerous conferences and workshops. He was a TPC chair for IEEE DySPAN 2010, and servers as a co-general chair for IEEE DySPAN 2011.
Dusit Niyato (M’09) is currently an Assistant Professor in the School of Computer Engineering, at the Nanyang Technological University, Singapore. He received B.Eng. from King Mongkut’s Institute of Technology Ladkrabang (KMITL) in 1999. He obtained his Ph.D. in Electrical and Computer Engineering from the University of Manitoba, Canada in 2008. His research interests are in the area of radio resource management in cognitive radio networks and broadband wireless access networks.
