DocumentCode :
2478715
Title :
Maximum MIMO Capacity in Line-of-Sight
Author :
Sarris, Joannis ; Nix, Andrew R.
Author_Institution :
Centre for Commun. Res., Bristol Univ.
fYear :
0
fDate :
0-0 0
Firstpage :
1236
Lastpage :
1240
Abstract :
In this paper, we investigate the capacity limits of Multiple-input, multiple-output (MIMO) communication systems in line-of-sight (LoS) environments. Under this scenario, the channel is usually rank deficient due to the linear dependence of the LoS rays´ phases on the receive elements. To overcome this problem, specifically designed antenna arrays can be employed, where the antenna elements are positioned in a way that orthogonality is preserved; hence maximizing the channel rank. To help in the design of such systems we derive the criteria for the maximum MIMO capacity in LoS environments as a function of the distance and the spacing of the arrays. The performance of these architectures is investigated in a number of optimal and suboptimal locations using a geometrical channel model. Finally, the performance is also studied in various degrees of scatter using a stochastic Monte-Carlo simulator
Keywords :
MIMO systems; Monte Carlo methods; antenna arrays; channel capacity; stochastic processes; LOS communication; MIMO capacity; antenna array; geometrical channel model; line-of-sight; multiple-input multiple-output system; stochastic Monte-Carlo simulator; Antenna arrays; Equations; Guidelines; MIMO; Predictive models; Rayleigh channels; Rayleigh scattering; Solid modeling; Stochastic processes; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Communications and Signal Processing, 2005 Fifth International Conference on
Conference_Location :
Bangkok
Print_ISBN :
0-7803-9283-3
Type :
conf
DOI :
10.1109/ICICS.2005.1689252
Filename :
1689252
Link To Document :
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