Wireless communications systems and networks
Design issues for MIMO systems in various fading situations
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Random matrix theory and wireless communications
Communications and Information Theory
Transmission and reception with multiple antennas: theoretical foundations
Communications and Information Theory
Distribution and characteristic functions for correlated complex Wishart matrices
Journal of Multivariate Analysis
Design and experimental validation of MIMO multiuser detection for downlink packet data
EURASIP Journal on Applied Signal Processing
The simplex game: can selfish users learn to operate efficiently in wireless networks?
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Using cross-system diversity in heterogeneous networks: Throughput optimization
Performance Evaluation
A new energy efficiency measure for quasi-static MIMO channels
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Asymptotic performance of linear receivers in MIMO fading channels
IEEE Transactions on Information Theory
A new signaling scheme for large DS-CDMA channels without CSI
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
A central limit theorem for the SINR at the LMMSE estimator output for large-dimensional signals
IEEE Transactions on Information Theory
On convex vector precoding for multiuser MIMO broadcast channels
IEEE Transactions on Signal Processing
Large system spectral analysis of covariance matrix estimation
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
MIMO networks: the effects of interference
IEEE Transactions on Information Theory
Capacity of Correlated MISO Channels with Correlated Co-channel Interference and Noise
Wireless Personal Communications: An International Journal
IEEE Transactions on Communications
On the capacity achieving covariance matrix for Rician MIMO channels: an asymptotic approach
IEEE Transactions on Information Theory
Near-optimal power allocation for MIMO channels with mean or covariance feedback
IEEE Transactions on Communications
Asymptotic mutual information for Rician MIMO-MA channels with arbitrary inputs: a replica analysis
IEEE Transactions on Communications
Adaptive reduced-rank MIMO decoder for military communications
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
IEEE Journal on Selected Areas in Communications - Special issue on cooperative communications in MIMO cellular networks
Noncooperative cellular wireless with unlimited numbers of base station antennas
IEEE Transactions on Wireless Communications
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The use of multiple-antenna arrays in both transmission and reception promises huge increases in the throughput of wireless communication systems. It is therefore important to analyze the capacities of such systems in realistic situations, which may include spatially correlated channels and correlated noise, as well as correlated interferers with known channel at the receiver. Here, we present an approach that provides analytic expressions for the statistics, i.e., the moments of the distribution, of the mutual information of multiple-antenna systems with arbitrary correlations, interferers, and noise. We assume that the channels of the signal and the interference are Gaussian with arbitrary covariance. Although this method is valid formally for large antenna numbers, it produces extremely accurate results even for arrays with as few as two or three antennas. We also develop a method to analytically optimize over the input signal covariance, which enables us to calculate analytic capacities when the transmitter has knowledge of the statistics of the channel (i.e., the channel covariance). In many cases of interest, this capacity is very close to the full closed-loop capacity, in which the transmitter has instantaneous channel knowledge. We apply this analytic approach to a number of examples and we compare our results with simulations to establish the validity of this approach. This method provides a simple tool to analyze the statistics of throughput for arrays of any size. The emphasis of this paper is on elucidating the novel mathematical methods used.