广州数学大讲坛第三期

第二十八讲——北京邮电大学刘亚锋教授学术报告

题目：One-Bit Precoding in Massive MIMO: Algorithm Design and Asymptotic Performance Analysis

时间：2026年5月20日（星期三）上午11:00-12:30

地点：理学实验楼312

报告人：刘亚锋 教授

摘要: One-bit precoding is a promising approach to enhancing hardware efficiency in massive MIMO systems and has attracted significant research interests in recent years. However, the inherent one-bit constraint on the transmit signals poses great challenges for both precoding design and performance analysis. This talk presents recent advancements in one-bit precoding. The first part focuses on precoding design for massive MIMO systems, introducing a new negative ℓ1 penalty approach. This method is based on an exact penalty model that penalizes the one-bit constraint into the objective using a negative ℓ1-norm term. Compared to existing approaches, our approach achieves a superior trade-off between computational complexity and symbol error rate (SER) performance. Additionally, we will explore one-bit precoding design in massive MIMO integrated sensing and communication (ISAC)—a key use case in 6G systems. The second part of the talk shifts to the asymptotic SER performance analysis of a broad class of linear-quantized precoding schemes. Unlike conventional Bussgang decomposition-based analyzes, our analytical framework is grounded in random matrix theory (RMT), which is more rigorous and can be extended to more general cases. Furthermore, we will present recent findings on the asymptotic SER analysis of a widely studied nonlinear precoding scheme.

报告人简介：

刘亚锋，北京邮电大学数学科学杏吧传媒 教授，主要研究方向为最优化理论与算法及其在信号处理、无线通信和机器学习等领域的应用。他曾荣获多项学术奖项，包括2011年国际通信大会“最佳论文奖”、2018年中国运筹学会“青年科技奖”、2020年IEEE通信学会亚太地区“杰出青年学者奖”、2022年中国工业与应用数学学会“青年科技奖”，以及2024年IEEE信号处理学会“最佳论文奖”。他目前或曾担任《IEEE Transactions on Signal Processing》、《IEEE Transactions on Wireless Communications》、《Journal of Global Optimization》、《计算数学》和《运筹学学报》等期刊的编委，并曾担任《IEEE Journal on Selected Areas in Communications》“无线通信网络中的优化理论与算法”专刊的客座编委。