Capacity Analysis of MIMO Rayleigh Channel with Spatial Fading Correlation
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Power minimization of central Wishart MIMO block-fading channels
IEEE Transactions on Communications
Gallager's exponent for MIMO channels: a reliability-rate tradeoff
IEEE Transactions on Communications
On the marginal distribution of the eigenvalues ofWishart matrices
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
Capacity bounds for MIMO Nakagami-m fading channels
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Ei-Transform: a useful and general framework for channel capacity analysis over fading channels
SARNOFF'09 Proceedings of the 32nd international conference on Sarnoff symposium
The effect of unequal power reception in cellular MIMO networks
Signal Processing
Per-antenna rate and power control for MIMO layered architectures in the low- and high-power regimes
IEEE Transactions on Communications
Analytical comparison of power allocation methods in MIMO systems with singular value decomposition
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
MIMO networks: the effects of interference
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
On marginal distributions of the ordered eigenvalues of certain random matrices
EURASIP Journal on Advances in Signal Processing
Higher Order Capacity Statistics of Diversity Receivers
Wireless Personal Communications: An International Journal
Hi-index | 0.14 |
In this paper, we analyze the capacity of multiple-input multiple-output (MIMO) Rayleigh-fading channels in the presence of spatial fading correlation at both the transmitter and the receiver, assuming the channel is unknown at the transmitter and perfectly known at the receiver. We first derive the determinant representation for the exact characteristic function of the capacity, which is then used to determine the trace representations for the mean, variance, skewness, kurtosis, and other higher-order statistics (HOS). These results allow us to exactly evaluate two relevant information-theoretic capacity measures - ergodic capacity and outage capacity - and the HOS of the capacity for such a MIMO channel. The analytical framework presented in the paper is valid for arbitrary numbers of antennas, and generalizes the previously known results for independent and identically distributed or one-sided correlated MIMO channels to the case when fading correlation exists on both sides. We verify our analytical results by comparing them with Monte Carlo simulations for a correlation model based on realistic channel measurements as well as a classical exponential correlation model