DocumentCode
3180232
Title
Iterative Soft Multiuser Detection for MIMO MC-CDMA Systems
Author
Luo, Zhendong ; Huang, Dawei
Author_Institution
Bell Labs. Res. China, Alcatel-Lucent, Beijing
fYear
2008
fDate
21-24 Sept. 2008
Firstpage
1
Lastpage
5
Abstract
In this paper, an iterative soft multiuser detection (MUD) algorithm is proposed for multiple-input multiple-output multi-carrier code-division multiple access (MIMO MC-CDMA) systems. Based on an equivalent system model, an efficient soft MUD algorithm is first derived by the central limit theorem, the property of the complex Gaussian distribution, and fast matrix computation formulas. By iteratively using the soft MUD algorithm with some updated probability information, we then obtain the proposed iterative soft MUD algorithm. Finally, it is shown that this algorithm achieves near-optimal performance with very efficient iterative computations.
Keywords
Gaussian distribution; MIMO communication; code division multiple access; iterative methods; matrix algebra; multiuser detection; Gaussian distribution; MIMO MC-CDMA systems; equivalent system model; fast matrix computation formulas; iterative soft multiuser detection; multicarrier code-division multiple access system; multiple-input multiple-output system; probability information; Computer simulation; Distributed computing; Frequency diversity; Gaussian distribution; Iterative algorithms; MIMO; Multiaccess communication; Multicarrier code division multiple access; Multiuser detection; Receiving antennas;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference, 2008. VTC 2008-Fall. IEEE 68th
Conference_Location
Calgary, BC
ISSN
1090-3038
Print_ISBN
978-1-4244-1721-6
Electronic_ISBN
1090-3038
Type
conf
DOI
10.1109/VETECF.2008.196
Filename
4657028
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