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High Performance, Low Complexity Multiuser Detection for Wireless Networks - An Application of the Chase Algorithm

English · Paperback / Softback

Description

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In modern wireless communication systems, multiuser detection (MUD) is a good approach to achieve the highly reliable data transmissions. In the area of error control coding, the Chase algorithm, which takes advantage of the different reliabilities of the received symbols and focuses on correcting the error in the weakest symbols, can achieve a near maximum-likelihood (ML) performance and with significant complexity reduction.This book discusses the applications of the Chase algorithm in multiuser detection and proposes some novel detetors for the single-input single-output (SISO) and multiple-input multiple-output (MIMO) code division multiple access (CDMA) systems. In the SISO-CDMA systems, the proposed multiuser detector is developed from the multistage parallel interference cancellation (PIC) detector. In the MIMO-CDMA systems, the proposed detector is based on the layered space-time multiuser detector (LAST-MUD). Both of them can achieve higher performance and lower complexity compared to the previous developed multiuser detectors.This book can be used as a reference for engineers, researchers and students working in the field of wireless communications.

About the author

Liu, Feng was born in Guangxi, China, and received the B. E. degree in Power Engineering from Wuhan University , China, in 1995, the M. A. Sc. Degree in Electrical and Computer Engineering from Concordia, in 2007.
In May 2007, he joined Research In Motion where he is presently a DSP Firmware Developer. His major duty is the development of real-time validation of the physical layer for 3G/3G mobile devices.

Product details

Authors Fen Liu, Feng Liu, Mohammad Reza Soleymani
Publisher VDM Verlag Dr. Müller
 
Languages English
Product format Paperback / Softback
Released 15.07.2008
 
EAN 9783639031959
ISBN 978-3-639-03195-9
No. of pages 92
Dimensions 150 mm x 6 mm x 220 mm
Weight 153 g
Subject Natural sciences, medicine, IT, technology > Technology

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