Minimum Symbol Error Probability Low-Resolution Precoding for MU-MIMO Systems With PSK Modulation

TL;DR

This paper introduces an optimal low-resolution precoding method for MU-MIMO systems with PSK modulation, minimizing symbol error probability and outperforming existing techniques.

Contribution

It presents a novel optimal precoding approach for any PSK order using branch-and-bound and greedy algorithms, enhancing symbol error rate performance.

Findings

Outperforms MMDDT and MMSE in symbol error rate

Supports any PSK modulation order

Provides both optimal and practical solutions

Abstract

We propose an optimal low-resolution precoding technique that minimizes the symbol error probability of the users. Unlike existing approaches that rely on QPSK modulation, for the derivation of the minimum symbol error probability objective function the current approach allows for any PSK modulation order. Moreover, the proposed method solves the corresponding discrete optimization problem optimally via a sophisticated branch-and-bound method. Moreover, we propose different approaches based on the greedy search method to compute practical solutions. Numerical simulations confirm the superiority of the proposed minimum symbol error probability criteria in terms of symbol error rate when compared with the established MMDDT and MMSE approaches.