Regularized Zero-Forcing for Multiantenna Broadcast Channels with User Selection

TL;DR

This paper introduces a robust regularized zero-forcing beamforming method for multiantenna broadcast channels with user selection, effectively handling imperfect channel information and outperforming traditional methods.

Contribution

The paper proposes a novel robust RZF beamforming technique that improves performance under practical imperfect CSI conditions in multiuser MIMO systems.

Findings

RRZF outperforms ZF and RZF beamforming as user number increases

Simulation results confirm the robustness and advantage of RRZF

Proposed method is effective in practical scenarios with imperfect CSI

Abstract

A multiantenna multiuser broadcast channel with transmitter beamforming and user selection is considered. Different from the conventional works, we consider imperfect channel state information (CSI) which is a practical scenario for multiuser broadcast channels. We propose a robust regularized zero-forcing (RRZF) beamforming at the base station. Then we show that the RRZF outperforms zero-forcing (ZF) and regularized ZF (RZF) beamforming even as the number of users grows to infinity. Simulation results validate the advantage of the proposed robust RZF beamforming.