Design issues for MIMO systems in various fading situations
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Capacity performance of adaptive receive antenna subarray formation for MIMO systems
EURASIP Journal on Wireless Communications and Networking
On the Mutual information distribution of MIMO rician fading channels
IEEE Transactions on Communications
Capacity bounds for MIMO Nakagami-m fading channels
IEEE Transactions on Signal Processing
Robust collaborative-relay beamforming
IEEE Transactions on Signal Processing
Optimizing antenna configuration for MIMO systems with imperfect channel estimation
IEEE Transactions on Wireless Communications
On analytical derivations of the condition number distributions of dual non-central Wishart matrices
IEEE Transactions on Wireless Communications
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
Achievable sum rate of MIMO MMSE receivers: a general analytic framework
IEEE Transactions on Information Theory
Ergodic capacity analysis of amplify-and-forward MIMO dual-hop systems
IEEE Transactions on Information Theory
On the condition number distribution of complex wishart matrices
IEEE Transactions on Communications
IEEE Transactions on Wireless Communications
Near-optimal power allocation for MIMO channels with mean or covariance feedback
IEEE Transactions on Communications
On the capacity of generalized-K fading MIMO channels
IEEE Transactions on Signal Processing
Mutual information statistics and beamforming performance analysis of optimized LoS MIMO systems
IEEE Transactions on Communications
| Hi-index | 35.82 |
We consider Gaussian multiple-input multiple-output (MIMO) frequency-selective spatially correlated fading channels, assuming that the channel is unknown at the transmitter and perfectly known at the receiver. For Gaussian codebooks, using results from multivariate statistics, we derive an analytical expression for a tight lower bound on the ergodic capacity of such channels at any signal-to-noise ratio (SNR). We show that our bound is tighter than previously reported analytical lower bounds, and we proceed to analytically quantify the impact of spatial fading correlation on ergodic capacity. Based on a closed-form approximation of the variance of mutual information in correlated flat-fading MIMO channels, we provide insights into the multiplexing-diversity tradeoff for Gaussian code books. Furthermore, for a given total number of antennas, we consider the problem of finding the optimal (ergodic capacity maximizing) number of transmit and receive antennas, and we reveal the SNR-dependent nature of the maximization strategy. Finally, we present numerical results and comparisons between our capacity bounds and previously reported bounds.