Cognitive Wireless Communication Networks provides a unified view on the state-of-the-art in what has emerged as a promising technology for maximizing the utilization of the limited radio bandwidth. With interest in this technology increasing among researchers in both academia and industry and spectrum policy makers, this book offers a wide range of information on the subject. Topics covered include the fundamental challenges and issues in designing cognitive radio systems to the information-theoretic analysis of such systems, spectrum sensing and co-existence issues, adaptive physical layer protocols and link adaptation techniques for cognitive radio, orthogonal frequency division multiple access (OFDM) and ultra wide band (UWB)-based cognitive radio, different techniques for spectrum access by distributed cognitive radio, cognitive medium access control (MAC) protocols, decentralized learning-based dynamic spectrum access methods as well as macroeconomic models for spectrum management in cognitive radio.
Cognitive radio has emerged as a promising technology for maximizing the utilization of the limited radio bandwidth while accommodating the increasing amount of services and applications in the wireless networks. This book presents a unified view of cognitive radio technology (both theory and practice). It includes a set of research and survey articles from world-class researchers featuring the recent advances in theory and applications of cognitive radio technology for the next generation (e.g., fourth generation) wireless communication networks. The contributed articles cover both the theoretical concepts (e.g., information-theoretic analysis) and system-level implementation issues. Therefore, the book provides a unified view on the state-of-the-art of cognitive radio technology and the rich set of references in each of the articles will be invaluable to researchers.
Ekram Hossain
Cognitive Radio Networks Hossain Information Orthogonal frequency-division multiplexing Transceiver artificial intelligence communication development learning machine learning organization radio technology robot software-defined radio speech processing