Spectrum Sharing in Wireless Networks

Dr. John D. Matyjas earned his PhD in electrical engineering from State University of New York at Buffalo in 2004. Currently, he is serving as the Connectivity & Dissemination Core Technical Competency Lead at the Air Force Research Laboratory (AFRL) in Rome, NY. His research interests include dynamic multiple-access communications and networking, software defined RF spectrum mutability, statistical signal processing and optimization, and neural networks. Dr. Matyjas is an IEEE senior member, chair of the IEEE Mohawk Valley Signal Processing Society, and member of Tau Beta Pi and Eta Kappa Nu. He also serves on the IEEE Transactions on Wireless Communications Editorial Advisory Board.Dr. Fei Hu is currently a professor in the Department of Electrical and Computer Engineering at the University of Alabama, Tuscaloosa, Alabama. He earned his PhD degrees at Tongji University, Shanghai, China, in the field of signal processing in 1999 and at Clarkson University, New York, USA, in electrical and computer engineering in 2002. He has published over 200 journal/conference papers and books. Dr. Hu’s research has been supported by the U.S. National Science Foundation, Department of Defense, Cisco, Sprint, and other sources. His research expertise is primarily in the areas of security, signals, and sensors.Dr. Sunil Kumar is currently a professor and Thomas G. Pine faculty fellow in the Electrical and Computer Engineering Department at San Diego State University (SDSU), San Diego, California, USA. He earned his PhD in electrical and electronics engineering from the Birla Institute of Technology and Science (BITS), Pilani, India, in 1997. From 1997 to 2002, Dr. Kumar was a postdoctoral researcher and adjunct faculty at the University of Southern California, Los Angeles. He has published over 130 technical papers in journals/conferences. His research interests include the cross-layer wireless protocols and image/video processing.

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• BIG PICTURE. Physical Aspects of Spectrum Sharing. Perspective on the Design of Opportunistic Spectrum Sharing. APPROACHES TO SPECTRUM SHARING. New Coexistence and Sharing Paradigms for Multihop Secondary Networks. Space-Time Spectrum Sharing in Cognitive Radio Networks. LTE in the Unlicensed Band (LTE-U). Spectrum Sharing in Broadcast and Unicast Hybrid Cellular Networks. Cooperation-Based Dynamic Spectrum Sharing in CRNs. Cooperation in Cognitive Radio Networks. Cross-Layer Design for Spectrum Efficiency. Spectrum-Aware Routing in Cognitive Radio Vehicular Ad Hoc Networks (CRVANETs): Challenges and Solutions. The Spectrum Sharing Games. Game-Theoretic Opportunistic Spectrum Sharing. An Adaptive Game Theoretic Framework for Self-Coexistence among Cognitive Radio Enabled Smart Grid Networks. MODELING ISSUES. Performance Modeling of Opportunistic Spectrum Sharing. Calculation Methods for Spectrum Availability. How to Use Novel Methods for Improving the Performance of Wireless Cognitive Networks. Low-Complexity and High-Efficient Scheduling Schemes for Spectrum-Sharing Based Secondary Transmissions. MIMO-ORIENTED DESIGN. Capacity Scaling of MIMO Broadcast Channels with Finite-Rate Feedback. On the Achievable Sum-Rate of MIMO Bidirectional Underlay Cognitive Cooperative Networks. Robust Beamforming Optimization for the Secondary Transmission in a Spectrum Sharing Cognitive Radio Network. POWER CONTROL. Interference-Aware Power Allocation in Spectrum Sharing Cognitive Radio. Energy-Efficient Power Control for Spectrum Sharing in Next-Generation Wireless Networks. SECURITY. Spectrum Sharing Vulnerability and Threat Assessment. Security Measures for Efficient Spectrum Sharing. Pragmatic Security Issues and Solutions for Spectrum Sharing in Wireless Networks. MILITARY APPLICATIONS. The Spectrum in Defense: From Commodity to Maneuver Space.