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Space-Time Coding for Broadband Wireless Communications
John Wiley and Sons Ltd, Jan 2007, Pages: 488
The number of subscribers to wireless communications services is increasing daily and the amount of data being transmitted is likewise accelerating, particularly with the spread of wireless multimedia applications. These trends put huge stress on the available radio spectrum, and a variety of techniques to maximize bandwidth efficiency are being investigated. In the area of broadband wireless communications, the most promising technique is space-time coding. For that reason, there is a huge amount of interest in this technique in industry, and the topic is one of the hottest in communications. This book will be the first to give comprehensive coverage of the fundamental principles and key design considerations of space-time codes. This blend of theory and practice will make it of great interest to graduate students and practitioners alike. Giannakis is a Fellow of the IEEE and is well known for his work in signal processing and its applications to communications.
About the Author
GEORGIOS B. GIANNAKIS, PhD, is ADC Endowed Chair Professor in Wireless Telecommunications with the Department of Electrical and Computer Engineering at the University of Minnesota. He is a Fellow of the IEEE, a (co-)recipient of six IEEE best paper awards (including the IEEE Communication Societys 2004 Guglielmo Marconi Prize Paper), and a recipient of the IEEE Signal Processing Societys Technical Achievement Award. His interests and expertise span the areas of wireless communications, wireless networks, sensor networks, and statistical signal processing.
ZHIQIANG LIU, PhD, is Assistant Professor with the Department of Electrical and Computer Engineering at the University of Iowa. His research interests include space-time coding and processing, wireless communications theory, synchronization, channel estimation, and sensor networks.
XIAOLI MA, PhD, is Assistant Professor with the School of Electrical and Computer Engineering at the Georgia Institute of Technology. Her research interests include signal processing for communications and networking, signal estimation algorithms, wireless communications theory, and sensor networks.
SHENGLI ZHOU, PhD, is Assistant Professor with the Department of Electrical and Computer Engineering at the University of Connecticut. His research interests include wireless communications and signal processing, underwater acoustic communications and networking, and wireless positioning and synchronization.
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