DocumentCode :
2136667
Title :
Channel modeling and capacity analysis of large MIMO in real propagation environments
Author :
Kamga, Gervais N. ; Xia, Minghua ; Aissa, Sonia
Author_Institution :
INRS-EMT, University of Quebec, Montreal, Canada
fYear :
2015
fDate :
8-12 June 2015
Firstpage :
1447
Lastpage :
1452
Abstract :
To account for antenna physical parameters and real propagation conditions encountered by large-scale multipleinput multiple-output (MIMO) antenna systems in practical deployment, this paper develops a comprehensive MIMO channel model in an analytical way. In particular, major parameters including path loss, shadowing effect, multi-path fading, channel polarization, channel correlations, antenna cross-polarization discrimination and environmental cross-polar coupling, are integrated in a mathematically tractable way. Then, an upper bound on the ergodic capacity of the comprehensive MIMO channel is derived asymptotically, i.e. as the number of transmit and/or receive antennas of the MIMO system approaches infinity. Finally, Monte Carlo simulation results corroborate the effectiveness of the proposed model and the accuracy of the resulting capacity bound. Thanks to its high generality and compactness, the proposed model can serve as the kernel for the design and performance evaluation of large-scale MIMO in real propagation environments.
Keywords :
Correlation; MIMO; Receiving antennas; Shadow mapping; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2015 IEEE International Conference on
Conference_Location :
London, United Kingdom
Type :
conf
DOI :
10.1109/ICC.2015.7248527
Filename :
7248527
Link To Document :
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