Precoding in Multiple-Antenna Broadcast Systems with a Probabilistic Viewpoint

TL;DR

This paper explores a probabilistic approach to precoding in multi-antenna broadcast systems, introducing a novel Selective Mapping technique with nested lattice codes to reduce transmit energy.

Contribution

It presents a new probabilistic precoding method using SLM and nested lattice codes, achieving higher energy efficiency than traditional techniques.

Findings

Significant energy savings over conventional methods.

Effective implementation of SLM with nested lattice codes.

Potential for improved broadcast system performance.

Abstract

In this paper, we investigate the minimum average transmit energy that can be obtained in multiple antenna broadcast systems with channel inversion technique. The achievable gain can be significantly higher than the conventional gains that are mentioned in methods like perturbation technique of Peel, et al. In order to obtain this gain, we introduce a Selective Mapping (SLM) technique (based on random coding arguments). We propose to implement the SLM method by using nested lattice codes in a trellis precoding framework.