DocumentCode :
1235577
Title :
Performance of MIMO Systems With Antenna Selection Over Nonlinear Fading Channels
Author :
Sulyman, Ahmed Iyanda ; Ibnkahla, Mohamed
Author_Institution :
Electr. & Comput. Eng. Dept., R. Mil. Coll. of Canada, Kingston, ON
Volume :
2
Issue :
2
fYear :
2008
fDate :
4/1/2008 12:00:00 AM
Firstpage :
159
Lastpage :
170
Abstract :
This paper examines the impact of antenna selection on the performance of multiple input-multiple output (MIMO) systems over nonlinear communication channels. Analytical expressions are derived for evaluating the PWEP performance of space-time trellis codes over nonlinear MIMO channel, case of Rayleigh fading, when antenna selection is employed at the receiver side. Performance degradation due to nonlinearity in the channel is then estimated for the reduced-complexity system. Antenna selection is traditionally employed to optimize the performance/complexity tradeoffs in MIMO systems, over linear MIMO channels. It is shown in this work that the deployment of the scheme over nonlinear MIMO channel has the additional benefit of helping to cut back on the performance degradation due to nonlinearity in the channel. Our results show that the performance degradation due to nonlinearity in the channel reduces as less numbers of antennas are selected at the receiver, representing some savings in SNR penalty due to nonlinearity for the reduced-complexity system.
Keywords :
MIMO communication; Rayleigh channels; fading channels; space-time codes; trellis codes; MIMO systems; Rayleigh fading; antenna selection; multiple input-multiple output systems; nonlinear fading channels; pair-wise error probability; space-time trellis codes; Degradation; Fading; High power amplifiers; MIMO; Military computing; Mobile communication; Pairwise error probability; Performance analysis; Radio frequency; Receiving antennas; Antenna selection; high-power amplifiers (HPAs); nonlinear MIMO channels; pair-wise error probability (PWEP); space-time codes;
fLanguage :
English
Journal_Title :
Selected Topics in Signal Processing, IEEE Journal of
Publisher :
ieee
ISSN :
1932-4553
Type :
jour
DOI :
10.1109/JSTSP.2008.922509
Filename :
4531581
Link To Document :
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