On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Eigenvalues and Condition Numbers of Complex Random Matrices
SIAM Journal on Matrix Analysis and Applications
IEEE Transactions on Signal Processing
Capacity scaling in MIMO wireless systems under correlated fading
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Largest eigenvalue of complex Wishart matrices and performance analysis of MIMO MRC systems
IEEE Journal on Selected Areas in Communications
Limits of multi-user MIMO systems using scheduling and rate feedback
Signal Processing
IEEE Transactions on Signal Processing
A Bayesian framework for collaborative multi-source signal sensing
IEEE Transactions on Signal Processing
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Eigenvalue densities of complex noncentral Wishart matrices are investigated to study an open problem in information theory. Specifically, the largest, smallest, and joint eigenvalue densities of complex noncentral Wishart matrices are derived. These densities are expressed in terms of complex zonal polynomials and invariant polynomials. A connection between the complex Wishart matrix theory and information theory is given. This facilitates evaluation of the most important information-theoretic measure, the so-called ergodic channel capacity. In particular, the capacity of multiple-input multiple-output (MIMO) Rician distributed channels is investigated. We consider both spatially correlated and uncorrelated MIMO Rician channels and derive exact and easily computable tight upper bound formulas for ergodic capacities. Numerical results are also given, which show how the channel correlation degrades the capacity of the communication system.