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
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
The impact of frequency-flat fading on the spectral efficiency of CDMA
IEEE Transactions on Information Theory
Spectral efficiency in the wideband regime
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
Capacity of MIMO systems with semicorrelated flat fading
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
High SNR Analysis for MIMO Broadcast Channels: Dirty Paper Coding Versus Linear Precoding
IEEE Transactions on Information Theory
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We present an interesting and powerful new framework connecting the achievable sum rate of multiple-input multiple-output (MIMO) wireless systems employing linear minimum mean-squared error (MMSE) receivers, and the ergodic MIMO mutual information. This allows the vast literature on ergodic MIMO mutual information to be directly applied to the analysis of MMSE receivers. As an example, the framework is particularized to spatially-correlated Rayleigh fading to yield new exact closed-form expressions for the achievable sum rate, as well as simplified expressions for high and low signal to noise ratios.