Mutual Information Statistics and Beamforming Performance Analysis of Optimized LoS MIMO Systems

被引：26
作者：
Matthaiou, Michail
de Kerret, Paul [2 ]
Karagiannidis, George K. [3 ]
Nossek, Josef A. [1 ]
机构：
[1] Tech Univ Munich, Inst Circuit Theory & Signal Proc, D-80333 Munich, Germany
[2] Rhein Westfal TH Aachen, Inst Theoret Informat Technol, D-52074 Aachen, Germany
[3] Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, Thessaloniki 54124, Greece
来源：
IEEE TRANSACTIONS ON COMMUNICATIONS | 2010年 / 58卷 / 11期
关键词：
Mutual information; MIMO systems; Ricean fading; Wishart matrices; eigenvalue distributions; COMPLEX WISHART MATRICES; EIGENVALUE DISTRIBUTIONS; ERGODIC CAPACITY; RICEAN; CHANNELS; DESIGN; JOINT; MRC;
D O I：
10.1109/TCOMM.2010.091710.090770
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper provides a systematic mutual information (MI) and multichannel beamforming (MBF) characterization of optimized multiple-input multiple-output (MIMO) communication systems operating in Ricean fading. These optimized configurations are of high practical importance since, contrary to the common belief, benefit from the presence of direct Line-of-Sight (LoS) components and deliver maximum multiplexing gains, by deploying specifically designed antenna arrays at both ends. In the following, using elements from random matrix theory, novel analytical expressions are derived for the exact and asymptotic MI statistics while the prevalent Gaussian approximation is examined. Moreover, new explicit expressions for the marginal eigenvalues are deduced which are thereafter used to analyze the BF performance of the associated eigenmodes in terms of Signal-to-Noise ratio (SNR) outage probability. We note that all derived formulas are given in tractable determinant form and therefore allow for fast and efficient computation and also yield an excellent match with Monte-Carlo simulations, under different fading scenarios and model parameters.
引用
收藏
页码：3316 / 3329
页数：14
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