DocumentCode
1399171
Title
Generalized MBER-Based Vector Precoding Design for Multiuser Transmission
Author
Yao, Wang ; Chen, Sheng ; Hanzo, Lajos
Author_Institution
Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
Volume
60
Issue
2
fYear
2011
Firstpage
739
Lastpage
745
Abstract
We propose a generalized vector precoding (VP) design based on the minimum bit error rate (MBER) criterion for multiuser transmission in the downlink of a multiuser system, where the base station (BS) equipped with multiple transmitting antennas communicates with single-receiving-antenna mobile station (MS) receivers each having a modulo device. Given the knowledge of the channel state information and the current information symbol vector to be transmitted, our scheme directly generates the effective symbol vector based on the MBER criterion using the particle swarm optimization (PSO) algorithm. The proposed PSO-aided generalized MBER VP scheme is shown to outperform the powerful minimum mean-square-error (MMSE) VP and improved MMSE-VP benchmarks, particularly for rank-deficient systems, where the number of BS transmitting antennas is lower than the number of MSs supported.
Keywords
error statistics; least mean squares methods; mobile radio; multifrequency antennas; particle swarm optimisation; precoding; receiving antennas; transmitting antennas; MMSE; base station; channel state information; current information symbol vector; generalized MBER-based vector precoding design; minimum bit error rate criterion; minimum mean-square-error; modulo device; multiple transmitting antennas; multiuser transmission; particle swarm optimization algorithm; rank-deficient systems; single-receiving-antenna mobile station receivers; Minimum bit error rate (MBER); minimum mean square error (MMSE); multiuser transmission (MUT); particle swarm optimization (PSO); vector precoding (VP);
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2010.2098428
Filename
5661863
Link To Document