Matrix analysis
Multiuser Detection
Detection of Signals in Noise
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Rayleigh fading multi-antenna channels
EURASIP Journal on Applied Signal Processing - Space-time coding and its applications - part I
Fundamentals of wireless communication
Fundamentals of wireless communication
Asymptotic performance of linear receivers in MIMO fading channels
IEEE Transactions on Information Theory
Maximum sum-rate of MIMO multiuser scheduling with linear receivers
IEEE Transactions on Communications
Ergodic capacity analysis of amplify-and-forward MIMO dual-hop systems
IEEE Transactions on Information Theory
Characterizing the statistical properties of mutual information in MIMO channels
IEEE Transactions on Signal Processing
Capacity-approaching rate function for layered multiantenna architectures
IEEE Transactions on Wireless Communications
Downlink capacity of interference-limited MIMO systems with joint detection
IEEE Transactions on Wireless Communications
On the capacity of multiple-antenna systems in Rician fading
IEEE Transactions on Wireless Communications
Capacity of MIMO Rician channels
IEEE Transactions on Wireless Communications
Linear multiuser receivers: effective interference, effective bandwidth and user capacity
IEEE Transactions on Information Theory
Output MAI distributions of linear MMSE multiuser receivers in DS-CDMA systems
IEEE Transactions on Information Theory
The impact of frequency-flat fading on the spectral efficiency of CDMA
IEEE Transactions on Information Theory
Capacity scaling in MIMO wireless systems under correlated fading
IEEE Transactions on Information Theory
Spectral efficiency in the wideband regime
IEEE Transactions on Information Theory
Asymptotic normality of linear multiuser receiver outputs
IEEE Transactions on Information Theory
On the capacity of spatially correlated MIMO Rayleigh-fading channels
IEEE Transactions on Information Theory
Multiple-antenna capacity in the low-power regime
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Capacity of MIMO systems with semicorrelated flat fading
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Impact of antenna correlation on the capacity of multiantenna channels
IEEE Transactions on Information Theory
General Capacity Bounds for Spatially Correlated Rician MIMO Channels
IEEE Transactions on Information Theory
High-SNR power offset in multiantenna communication
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
On the Outage Capacity of Correlated Multiple-Path MIMO Channels
IEEE Transactions on Information Theory
High SNR Analysis for MIMO Broadcast Channels: Dirty Paper Coding Versus Linear Precoding
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
A stochastic MIMO radio channel model with experimental validation
IEEE Journal on Selected Areas in Communications
Impact of the propagation environment on the performance of space-frequency coded MIMO-OFDM
IEEE Journal on Selected Areas in Communications
MIMO capacity with interference
IEEE Journal on Selected Areas in Communications
Exploiting connections between MIMO MMSE achievable rate and MIMO mutual information
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Least-symbol-error-rate adaptive decision feedback equalization for underwater channel
Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems
Hi-index | 754.84 |
This paper investigates the achievable sum rate of multiple-input multiple-output (MIMO) wireless systems employing linear minimum mean-squared error (MMSE) receivers. We present a new analytic framework which exploits an interesting connection between the achievable sum rate with MMSE receivers and the ergodic mutual information achieved with optimal receivers. This simple but powerful result enables the vast prior literature on ergodic MIMO mutual information to be directly applied to the analysis of MMSE receivers. The framework is particularized to various Rayleigh and Rician channel scenarios to yield new exact closed-form expressions for the achievable sum rate, as well as simplified expressions in the asymptotic regimes of high and low signal-to-noise ratios (SNRs). These expressions lead to the discovery of key insights into the performance of MIMO MMSE receivers under practical channel conditions.