Probability Distribution-Based CSI Feedback for Massive MIMO Systems

Abstract

In this paper, a new channel state information (CSI) feedback scheme based on probability distribution is proposed for massive multiple-input multiple-output (MIMO) systems. In the proposed scheme, the real and imaginary parts of the channel elements are divided into several groups and sorted in ascending order. The sorted channel elements are approximated to a cumulative distribution function of a predefined probability distribution, and parameters representing the probability distributions are obtained for each group. The generated CSI, including the representing parameters and original ordering information, is fed back to the base station (BS). Finally, the channel vectors are reconstructed based on the CSI from the BS. It has been verified that the proposed scheme outperforms the conventional CSI feedback schemes in terms of the sum rate under a similar feedback overhead with low computational complexity.