Study of Linear Precoding and Stream Combining for Rate Splitting in MU-MIMO Systems

TL;DR

This paper introduces novel linear stream combining techniques for rate-splitting in multi-user MIMO systems, significantly improving sum rate performance over traditional methods.

Contribution

It proposes new linear combining methods based on Min-Max, maximum ratio, and MMSE criteria, combined with RBD precoders, with analytical sum rate performance analysis.

Findings

Proposed schemes outperform conventional linear precoding in sum rate.

Closed-form expressions for sum rate performance are derived.

Simulation results confirm significant performance gains.

Abstract

This paper develops stream combining techniques for rate-splitting (RS) multiple-antenna systems with multiple users to enhance the common rate. We propose linear combining techniques based on the Min-Max, the maximum ratio and the minimum mean-square error criteria along with Regularized Block Diagonalization (RBD) precoders for RS-based multiuser multiple-antenna systems. An analysis of the sum rate performance is carried out, leading to closed-form expressions. Simulations show that the proposed combining schemes offer a significant sum rate performance gain over conventional linear precoding schemes.