DocumentCode
2762609
Title
A Weighted Combining Approach to Multiuser Detection in Macrodiversity
Author
Abhishek, Vineet ; Chaturvedi, A.K.
Author_Institution
Dept. of Electr. Eng., Stanford Univ., CA
fYear
2007
fDate
11-15 March 2007
Firstpage
912
Lastpage
916
Abstract
A new linear complexity algorithm using weighted combining is proposed for multiuser detection (MUD) in macrodiversity for synchronous DS-CDMA. Error probability expression is derived for weighted combining based receivers and a framework for finding optimal weights is proposed. Simulation results show that the performance of the proposed algorithm compares with the optimal maximum-likelihood (ML) MUD under various situations.
Keywords
code division multiple access; multiuser detection; linear complexity algorithm; macrodiversity; multiuser detection; synchronous DS-CDMA; weighted combining; AWGN; Additive white noise; Computational complexity; Fading; Gaussian noise; Matched filters; Maximum likelihood decoding; Maximum likelihood detection; Multiuser detection; Receiving antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference, 2007.WCNC 2007. IEEE
Conference_Location
Kowloon
ISSN
1525-3511
Print_ISBN
1-4244-0658-7
Electronic_ISBN
1525-3511
Type
conf
DOI
10.1109/WCNC.2007.173
Filename
4224418
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