Multiuser Detection
Fundamentals of wireless communication
Fundamentals of wireless communication
Random matrix theory and wireless communications
Communications and Information Theory
Transmission and reception with multiple antennas: theoretical foundations
Communications and Information Theory
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
Space-time codes from structured lattices
IEEE Transactions on Information Theory
Outage and Diversity of Linear Receivers in Flat-Fading MIMO Channels
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Fading channels: information-theoretic and communications aspects
IEEE Transactions on Information Theory
Spectral efficiency of CDMA with random spreading
IEEE Transactions on Information Theory
Linear multiuser receivers: effective interference, effective bandwidth and user capacity
IEEE Transactions on Information Theory
Linear multiuser receivers in random environments
IEEE Transactions on Information Theory
The impact of frequency-flat fading on the spectral efficiency of CDMA
IEEE Transactions on Information Theory
A new approach to layered space-time coding and signal processing
IEEE Transactions on Information Theory
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
MMSE analysis of certain large isometric random precoded systems
IEEE Transactions on Information Theory
On low-complexity space-time coding for quasi-static channels
IEEE Transactions on Information Theory
On maximum-likelihood detection and the search for the closest lattice point
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Lattice coding and decoding achieve the optimal diversity-multiplexing tradeoff of MIMO channels
IEEE Transactions on Information Theory
Multiple-antenna channel hardening and its implications for rate feedback and scheduling
IEEE Transactions on Information Theory
A unified framework for tree search decoding: rediscovering the sequential decoder
IEEE Transactions on Information Theory
Golden Space–Time Trellis Coded Modulation
IEEE Transactions on Information Theory
Asymptotic Performance of MMSE Receivers for Large Systems Using Random Matrix Theory
IEEE Transactions on Information Theory
A New Approach for Mutual Information Analysis of Large Dimensional Multi-Antenna Channels
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Exploiting connections between MIMO MMSE achievable rate and MIMO mutual information
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Achievable sum rate of MIMO MMSE receivers: a general analytic framework
IEEE Transactions on Information Theory
Receiver implementation for MIMO-OFDM with AMC and precoding
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Augmented lattice reduction for MIMO decoding
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
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Linear receivers are an attractive low-complexity alternative to optimal processing for multiple-antenna multiple-input multiple-output (MIMO) communications. In this paper, we characterize the information-theoretic performance of MIMO linear receivers in two different asymptotic regimes. For fixed number of antennas, we investigate the limit of error probability in the high-signal-to noise-ratio (SNR) regime in terms of the diversity-multiplexing tradeoff (DMT). Following this, we characterize the error probability for fixed SNR in the regime of large (but finite) number of antennas. As far as the DMT is concerned, we report a negative result: we show that both linear zero-forcing (ZF) and linear minimum meansquare error (MMSE) receivers achieve the same DMT, which is largely suboptimal even in the case where outer coding and decoding is performed across the antennas. We also provide an approximate quantitative analysis of the markedly different behavior of the MMSE and ZF receivers at finite rate and nonasymptotic SNR, and show that while the ZF receiver achieves poor diversity at any finite rate, the MMSE receiver error curve slope fIattens out progressively, as the coding rate increases. When SNR is fixed and the number of antennas becomes large, we show that the mutual information at the output of an MMSE or ZF linear receiver has fluctuations that converge in distribution to a Gaussian random variable, whose mean and variance can be characterized in closed form. This analysis extends to the linear receiver case a well-known result previously obtained for the optimal receiver. Simulations reveal that the asymptotic analysis captures accurately the outage behavior of systems even with a moderate number of antennas.