DocumentCode :
2905717
Title :
Mutual Information Statistics of Optimized LoS MIMO Systems
Author :
Matthaiou, Michail ; Pitarokoilis, Antonios ; Nossek, Josef A.
Author_Institution :
Inst. for Circuit Theor. & Signal Process., Tech. Univ. Munchen, Munich, Germany
fYear :
2010
fDate :
23-27 May 2010
Firstpage :
1
Lastpage :
5
Abstract :
The presence of line-of-sight (LoS) components is typically considered as a hindrance for multiple-input multiple-output (MIMO) communications due to the limited amount of multipath scattering which, in turn, results in low spatial multiplexing gains. However, some recent investigations have questioned this common belief and demonstrated that by employing specifically designed antenna arrays at both the transmitter (Tx) and receiver (Rx), the mean channel matrix can become full-rank and, consequently, we can obtain high channel capacities even at high Ricean K-factors. In this paper, using the joint ordered eigenvalue probability density function (PDF) as a starting point, we derive analytical exact and asymptotic expressions for the mutual information (MI) statistics of these optimized LoS MIMO configurations. The proposed analytical formulae are given in a tractable determinant form and thus can be easily evaluated and efficiently programmed. The implications of the model parameters on MI statistics are also assessed with the match between the analytical curves and Monte-Carlo simulations being excellent.
Keywords :
MIMO communication; Monte Carlo methods; antenna arrays; eigenvalues and eigenfunctions; probability; receiving antennas; space division multiplexing; transmitting antennas; Monte-Carlo simulations; Ricean K-factors; antenna arrays; joint ordered eigenvalue probability density function; line-of-sight components; mean channel matrix; multipath scattering; multiple-input multiple-output communication; mutual information statistics; receiver; spatial multiplexing gains; transmitter; Antenna arrays; Channel capacity; MIMO; Mutual information; Receiving antennas; Scattering; Statistical analysis; Statistics; Transmitters; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2010 IEEE International Conference on
Conference_Location :
Cape Town
ISSN :
1550-3607
Print_ISBN :
978-1-4244-6402-9
Type :
conf
DOI :
10.1109/ICC.2010.5502245
Filename :
5502245
Link To Document :
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