Paper Info
Title
Reduced-rank antenna selection for MIMO DS-CDMA channels
Abstract
Receive antenna subset selection is an effective scheme to reduce the number of expensive RF chains in multi-input multi-output (MIMO) wireless systems (Gorokhov, A. et al., IEEE Trans. Inform. Theory, vol.49, p.2687-96, 2003). In order to speed up the selection process, two suboptimal antenna subset selection schemes are proposed for the downlink of direct-sequence (DS) code-division multiple access (CDMA) systems under frequency selective fading. These schemes are decremental and incremental selection algorithms (DSA and ISA, respectively), which recursively drop or select one more antenna element based on the mutual information maximization criterion for different channel realizations. Moreover, the high computational complexity of matrix inversion required by these two algorithms can be further reduced by a multistage Wiener filter (MSWF) (Goldstein, J.S., IEEE Trans. Inform. Theory, vol.44, p.2943-59, 1998). Monte Carlo simulation results show that the reduced-rank DSA not only precipitates the selection process with little capacity degradation, but outperforms the full-rank ISA by 2 dB.
Year
DOI
Venue
2005
10.1109/ISCAS.2005.1464941
ISCAS (2)
Keywords
Field
DocType
multistage wiener filter,receive antenna subset selection,optimisation,mutual information maximization criterion,receiving antennas,fading channels,multi-input multi-output wireless system,rf chains,mimo ds-cdma channels,reduced-rank antenna selection,antenna arrays,wiener filters,spread spectrum communication,incremental selection algorithm,computational complexity,matrix inversion,code division multiple access,mimo systems,decremental selection algorithm,downlink,wiener filter,monte carlo simulation,radio frequency,instruction sets,mutual information,mimo,fading
Wiener filter,Fading,Computer science,MIMO,Electronic engineering,Mutual information,Code division multiple access,Telecommunications link,Spread spectrum,Computational complexity theory
Conference
ISSN
ISBN
Citations 
0271-4302
0-7803-8834-8
1
PageRank 
References 
Authors
0.37
5
2
Name
Order
Citations
PageRank
Yu-Hao Chang1477.71
Xiaoli Yu2374.95