DocumentCode
819004
Title
Asymptotic spectral efficiency of MIMO multiple-access wireless systems exploring only channel spatial correlations
Author
Wen, Chao-Kai ; Lee, Yao-Nan ; Chen, Jiunn-Tsair ; Ting, Pangan
Author_Institution
Comput. & Commun. Res. Labs., Ind. Technol. Res. Inst., Hsinchu, Taiwan
Volume
53
Issue
6
fYear
2005
fDate
6/1/2005 12:00:00 AM
Firstpage
2059
Lastpage
2073
Abstract
In this paper, we use the replica method originally developed in statistical physics to investigate the asymptotic sum-rate of a Gaussian antenna-array-based multiple-input multiple-output (MIMO) multiple-access (MA) wireless channel having spatial correlations at both the transmitters and the receiver. Through numerical experiments, the asymptotic solution can consistently produce highly accurate ergodic results for MIMO-MA systems with only a few antenna elements at each transmitter and receiver. This offers the asymptotic solution important practical values in analyzing and designing a MIMO multiple access system that makes best use of the wireless channel structure. Furthermore, with the asymptotic solution, we provide an efficient optimization algorithm to determine the asymptotic optimum transmit signal covariance matrices when only the slow-varying channel spatial covariance information is available.
Keywords
Gaussian channels; MIMO systems; antenna arrays; covariance matrices; multi-access systems; optimisation; radio networks; receiving antennas; statistical analysis; transmitting antennas; Gaussian antenna-array; MIMO multiple-access wireless system; asymptotic spectral efficiency; channel spatial correlation; covariance matrix; multiple-input multiple-output; optimization algorithm; replica method; water-filling algorithm; Access protocols; Channel state information; Covariance matrix; MIMO; Mobile communication; Multiaccess communication; Receiving antennas; Time division multiple access; Transmitters; Transmitting antennas; MIMO system; multiple access channel; mutual information; optimization method; water-filling algorithm;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2005.847823
Filename
1433137
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