Mimo Transceiver Design Via Majorization Theory (Foundations and Trends(r) in Communications and Information)

Palomar, Daniel P., Jiang, Yi

ISBN 10: 1601980302 / ISBN 13: 9781601980304

Published by Now Publishers Inc, 2007

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Seller Inventory # ERICA78716019803026

Bibliographic Details

• Title: Mimo Transceiver Design Via Majorization Theory (Foundations and Trends(r) in Communications and Information)
• Publisher: Now Publishers Inc
• Publication Date: 2007
• Language: English
• ISBN 10: 1601980302
• ISBN 13: 9781601980304
• Binding: Paperback
• Condition: Like New
• Book Type: book

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Synopsis

Multiple-input multiple-output (MIMO) channels provide an abstract and unified representation of different physical communication systems, ranging from multi-antenna wireless channels to wireless digital subscriber line (DSL) systems. They have the key property that several data streams can be simultaneously established. MIMO Transceiver Design via Majorization Theory presents an up-to-date unified mathematical framework for the design of point-to-point MIMO transceivers with channel state information (CSI) at both sides of the link according to an arbitrary cost function as a measure of the system performance. In addition, the framework embraces the design of systems with given individual performance on the data streams. MIMO Transceiver Design via Majorization Theory is an invaluable resource for researchers and practitioners involved in the state-of-the-art design of MIMO-based communication systems

About the Author

Daniel P. Palomar is an Assistant Professor in the Department of Electronic and Computer Engineering at Hong Kong University of Science and Technology. He received his Ph.D. from the Technical University of Catalonia (UPC), Spain, in 2003 and has since received numerous awards including the Best Doctoral Thesis in Advanced Mobile Communications by the Vodafone Foundation and COIT (2004). His current research interests include applications of convex optimization theory, game theory, and variational inequality theory to signal processing and communications.