Regularized Zero-Forcing for Multiantenna Broadcast Channels with User Selection
Zijian Wang, and Wen Chen

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.
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Cooperative Communication and Network Coding · Advanced Wireless Communication Techniques
