DocumentCode
776614
Title
Optimal linear space-time spreading for multiuser MIMO communications
Author
Wang, Jibing ; Wang, Xiaodong
Author_Institution
Qualcomm Inc., San Deigo, CA, USA
Volume
24
Issue
1
fYear
2006
Firstpage
113
Lastpage
120
Abstract
In this paper, we study the design of linear dispersion (LD) codes for uplink multiuser channels with multiple antennas at the base station and each mobile unit. In the considered scheme, each user employs LD codes to transmit the data, i.e., the transmitted codeword is a linear combination over space and time of certain dispersion matrices with the transmitted symbols. The linear space-time spreading can also be utilized to separate multiple users at the base station. We propose a simulation-based optimization method together with gradient estimation to systematically design the multiuser linear space-time coding under either optimal or suboptimal receivers. We perform the gradient estimation through the score function method. The proposed method can also be applied to design codes under different fading statistics. Simulation results show that under the optimal maximum-likelihood (ML) receiver, the codes obtained by the new algorithm provides roughly the same performance as the low-dimensional spread modulation, as well as the interference-resistant modulation. Moreover, the new codes perform significantly better with suboptimal multiuser receiver structures.
Keywords
MIMO systems; antenna arrays; channel coding; data communication; dispersive channels; fading channels; gradient methods; linear codes; matrix algebra; maximum likelihood estimation; modulation coding; multiuser detection; radio receivers; radiofrequency interference; receiving antennas; space-time codes; LD code; MIMO communication; base station; data transmission; dispersion matrix; fading statistics; gradient estimation; interference-resistant modulation; linear dispersion; linear space-time code; low-dimensional spread modulation; maximum-likelihood receiver; multiple antenna; optimal ML; score function method; simulation-based optimization method; spreading code; suboptimal receiver; uplink multiuser channel; Base stations; Fading; MIMO; Maximum likelihood estimation; Mobile antennas; Mobile communication; Modulation coding; Multiuser channels; Optimization methods; Statistics; Gradient estimation; linear dispersion (LD) codes; multiuser detection; simulation-based optimization;
fLanguage
English
Journal_Title
Selected Areas in Communications, IEEE Journal on
Publisher
ieee
ISSN
0733-8716
Type
jour
DOI
10.1109/JSAC.2005.858893
Filename
1564277
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