Mean Capacity of Spatially Semi-Correlated MIMO Fading Channel

TL;DR

This paper analyzes the mean capacity of MIMO channels with semi-correlated fading, proposing an iterative covariance matrix method to maximize capacity, especially at high SNR levels.

Contribution

Introduces an iterative channel covariance matrix using matrix splitting to optimize mean capacity in semi-correlated MIMO channels.

Findings

ICC method achieves maximum channel gains at high SNR

Proposed approach guarantees zero correlation coefficients

Capacity degradation due to channel covariance is mitigated

Abstract

This study investigates the mean capacity of multiple-input multiple-output (MIMO) systems for spatially semi-correlated flat fading channels. In reality, the capacity degrades dramatic due to the channel covariance (CC) when correlations exist at the transmitter or receiver or on both sides. Most existing works have so far considered the traditional channel covariance matrices that have not been entirely constructed. Thus, we propose an iterative channel covariance (ICC) matrix using a matrix splitting (MS) technique with a guaranteed zero correlations coefficient in the case of the downlink correlated MIMO channel, to maximize the mean capacity. Our numerical results show that the proposed ICC method achieves the maximum channel gains with high signal-to-noise ratio (SNR) scenarios.