On the precoder design of flat fading MIMO systems equipped with MMSE receivers: a large system approach

Abstract

This paper is devoted to the design of precoders maximizing the ergodic mutual information (EMI) of bi-correlated flat fading MIMO systems equiped with MMSE receivers. The channel state information and the second order statistics of the channel are assumed available at the receiver side and at the transmitter side respectively. As the direct maximization of the EMI needs the use of non attractive algorithms, it is proposed to optimize an approximation of the EMI, introduced recently, obtained when the number of transmit and receive antennas $t$ and $r$ converge to $\infty$ at the same rate. It is established that the relative error between the actual EMI and its approximation is a $O(\frac{1}{t^2})$ term. It is shown that the left singular eigenvectors of the optimum precoder coincide with the eigenvectors of the transmit covariance matrix, and its singular values are solution of a certain maximization problem. Numerical experiments show that the mutual information provided by this precoder is close from what is obtained by maximizing the true EMI, but that the algorithm maximizing the approximation is much less computationally intensive.

Submitted to IEEE Transactions on Information Theory

References in corpus (4)

• Asymptotic Performance of Linear Receivers in MIMO Fading Channels
• A New Approach for Capacity Analysis of Large Dimensional Multi-Antenna Channels
• Performance of MMSE MIMO Receivers: A Large N Analysis for Correlated Channels
• On the capacity achieving covariance matrix for Rician MIMO channels: an asymptotic approach

Cited by in corpus (5)

• Joint Beamforming and Power Control in Coordinated Multicell: Max-Min Duality, Effective Network and Large System Transition
• Performance Analysis and Location Optimization for Massive MIMO Systems with Circularly Distributed Antennas
• On bilinear forms based on the resolvent of large random matrices
• Waveform Optimization for MIMO Joint Communication and Radio Sensing Systems with Training Overhead
• A Deterministic Equivalent for the Analysis of Non-Gaussian Correlated MIMO Multiple Access Channels