On the Mutual information distribution of MIMO rician fading channels
IEEE Transactions on Communications
MIMO Rayleigh-product channels with co-channel interference
IEEE Transactions on Communications
Capacity bounds for MIMO Nakagami-m fading channels
IEEE Transactions on Signal Processing
Statistical eigenmode transmission over jointly correlated MIMO channels
IEEE Transactions on Information Theory
Low SNR capacity of double-scattering MIMO channels with transmitter channel knowledge
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
IEEE Transactions on Signal Processing
Ergodic capacity analysis of amplify-and-forward MIMO dual-hop systems
IEEE Transactions on Information Theory
On the capacity of non-uniform phase MIMO Nakagami-m fading channels
IEEE Communications Letters
Near-optimal power allocation for MIMO channels with mean or covariance feedback
IEEE Transactions on Communications
Mutual information statistics and beamforming performance analysis of optimized LoS MIMO systems
IEEE Transactions on Communications
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This paper investigates the ergodic capacity of Ricean-fading multiple-input-multiple-output (MIMO) channels with rank-1 mean matrices under the assumption that the channel is unknown at the transmitter and perfectly known at the receiver. After introducing the system model and the concept of ergodic capacity of MIMO channels, we derive the explicit expressions for the expected values of the determinant and log-determinant of complex noncentral Wishart matrices. Subsequently, we obtain new upper and lower bounds on the ergodic capacity of rank-1 Ricean-fading MIMO channels at any signal-to-noise ratio (SNR). We show that our bounds are tighter than previously reported analytical bounds, and discuss the impact of spatial fading correlation and Ricean K-factor with the help of these bounds. Furthermore, we extend the analysis of ergodic capacity to frequency selective spatially correlated Ricean-fading MIMO channels. We demonstrate that the calculation of ergodic capacity of frequency selective fading MIMO channels can be converted to the calculation of the one of equivalent frequency flat-fading MIMO channels. Finally, we present numerical results that confirm the theoretical analysis