Precoding Techniques for Digital Communication Systems (Hardcover, 2008 ed.)

During the past two decades, many communication techniques have been developed to achieve various goals such as higher data rate, more robust link quality, andmoreusercapacityinmorerigorouschannelconditions.Themost well known are, for instance, CDMA, OFDM, MIMO, multiuser OFDM, and UWB systems.All these systems havetheir ownunique superioritywhile they also induce other drawbacks that limit the system performance. Conventional way to overcome the drawback is to impose most of the computational e?ort in the receiver side and let the transmitter design much simpler than receiver. The fact is that, however, by leveraging reasonable computational e?ort to the transmitter, the receiver design can be greatly simpli?ed. For instance, multiaccess interference (MAI) has long been considered to limit the perf- mance of multiuser systems. Popular solutions to mitigate MAI issue include multiuser detection (MUD) or sophisticated signal processing for interference cancellation such as PIC or SIC. However, those solutions impose great b- den in the receiver. In this case, precoding o?er good solutions to achieve simple transceiver designs as we will mention later in this book. This book is intended to provide a comprehensive review of precoding techniques for digital communications systems from a signal processing p- spective. The variety of selected precoding techniques and their applications makes this book quite di?erent from other texts about precoding techniques in digital communication engineering

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	September 2008
First published:	2008
Authors:	C.C. Kuo • Shang-ho Tsai • Layla Tadjpour • Yu-hao Chang
Dimensions:	235 x 156 x 19mm (L x W x T)
Format:	Hardcover
Pages:	320
Edition:	2008 ed.
ISBN-13:	978-0-387-71768-5
Categories:	Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General
LSN:	0-387-71768-4
Barcode:	9780387717685

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