Coding for MIMO Communication Systems
Duman, Tolga M.; Ghrayeb, Ali
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Coding for MIMO Communication Systems is a comprehensive introduction and overview to the various emerging coding techniques developed for MIMO communication systems. The basics of wireless communications and fundamental issues of MIMO channel capacity are introduced and the space-time block and trellis coding techniques are covered in detail. Other signaling schemes for MIMO channels are also considered, including spatial multiplexing, concatenated coding and iterative decoding for MIMO systems, and space-time coding for non-coherent MIMO channels. Practical issues including channel correlation, channel estimation and antenna selection are also explored, with problems at the end of each chapter to clarify many important topics.
This book is aimed at advanced undergraduate and postgraduate students, researchers and practitioners in industry, as well as individuals working for government, military, science and technology institutions who would like to learn more about coding for MIMO communication systems.
Ali Ghrayeb received the Ph.D. degree in electrical engineering from the University of Arizona, Tucson, AZ, in May 2000. He is currently an Associate Professor in the Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada. He holds a Concordia Research Chair in High-Speed Wireless Communications. His research interests are in wireless and mobile communications, wireless networks, and coding and signal processing for data transmission and storage. He has co-instructed technical tutorials and short courses on coding for MIMO Systems and on Synchronization for WCDMA Systems at several major IEEE conferences. He serves as an Associate Editor for IEEE Transactions on Vehicular Technology and Wiley Wireless Communications and Mobile Computing Journal.
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