Channel Pre-Inversion and max-SINR Vector Perturbation for Large-Scale Broadcast Channels

TL;DR

This paper introduces a new vector perturbation strategy called max-SINR VP for large-scale broadcast channels, demonstrating its superior performance and potential for near-capacity data delivery with low complexity.

Contribution

The paper proposes the max-SINR vector perturbation (MSVP) method, predicting its performance and showing it outperforms existing VP techniques in large-scale MIMO broadcast channels.

Findings

MSVP outperforms other VP methods in simulations.

MSVP combined with Sorted QR Precoding approaches channel capacity.

Capacity predictions for MMSE pre-inversion as the number of users grows.

Abstract

We study channel pre-inversion and vector perturbation (VP) schemes for large-scale broadcast channels, wherein a transmitter has $M$ transmit antennas and is transmitting to $K$ single-antenna non-cooperating receivers. We provide results which predict the capacity of MMSE pre-inversion as $K\rightarrow\infty$. We construct a new VP strategy, max-SINR vector perturbation (MSVP), which maximizes a sharp estimate of the signal-to-interference-plus-noise ratio. We provide results which predict the performance of MSVP and demonstrate that MSVP outperforms other VP methods. Lastly, we combine MSVP with the low-complexity Sorted QR Precoding method to show that MSVP has the potential to efficiently deliver data to a very large number of users at close to channel capacity.