# Regularized Zero-Forcing for Multiantenna Broadcast Channels with User Selection

arXiv: https://arxiv.org/abs/2003.09923 · HTML: https://mlsanity.com/paper/2003.09923/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Mar 2020.

## Built on by (most cited first, 2 of 2)

- [Learning Robust Beamforming for MISO Downlink Systems](https://mlsanity.com/paper/2103.01602/) (2021)
- [Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems](https://mlsanity.com/paper/2112.14423/) (2021)

## Abstract (arXiv)

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.