题目一：面向时频双色散信道的新型调制技术研究
内容简介：高速移动场景、通感一体化典型场景等6G新特征引发了新波形技术——正交时频空调制（OTFS）与仿射频分复用（AFDM）的探索。此次报告，首先介绍OTFS与AFDM的基本原理以及各自的优缺点，然后说明性能提升的可行方案与多址接入形式，最后讨论面临的技术挑战。
报告人：温淼文
报告人简介：华南理工大学教授，博士生导师。主要从事无线通信与分子通信物理层技术研究。至今主持了3项国家自然科学基金项目，3项广东省自然科学基金项目等。著有英文专著两册，发表IEEE Transactions论文100余篇，谷歌引用逾万次。获IEEE通信学会亚太地区杰出青年学者奖（2020年），广东省电子信息科学技术奖一等奖（2022年）等。现任IEEE Transactions on Wireless Communications, IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, IEEE Communications Letters期刊编委。曾任IEEE Transactions on Communications编委（2019-2024）。入选爱思唯尔中国高被引学者（2020-2023年）、第四届中国科协青年人才托举工程。
题目二：Quadratic Transform for Fractional Programming in Signal Processing and Machine Learning
内容简介：Fractional programming (FP) is an invaluable optimization tool for communications and signal processing because many problems in these areas are fractionally structured, e.g., the signal-to-interference-plus-noise ratio (SINR) maximization for wireless transmission, the normalized cut maximization for graph clustering, the Cram\'{e}r-Rao bound (CRB) minimization for radar signal processing, the mean squared error minimization for pilot signal design, the margin maximization for support vector machine (SVM), and the age of information (AoI) minimization for sensor networks, etc. This feature article aims at a general introduction to the commonly used FP techniques upon which some latest advances in communications and signal processing are based. After briefly reviewing the classic FP theory, the article focuses on a recently developed method called the quadratic transform. We begin with the basic version of the quadratic transform considering the sum-of-ratios max FP, which the classic methods of Charnes-Cooper and Dinkelbach fail to address. The quadratic transform is further extended to a variety of other FP scenarios. For every FP method, in a top-down manner, we first present its general math framework and then specialize it to specific application. The article also gives insights into the quadratic transform by connecting it to other fundamental methods, such as the fixed-point iteration, weighted minimum mean squared error (WMMSE), majorization-minimization (MM), and gradient projection. Moreover, the convergence condition and the convergence rate are examined when we then turn our attention to the theoretical basis of the quadratic transform.
报告人：沈闓明
报告人简介：Dr. Kaiming Shen received the B.Eng. degree from Shanghai Jiao Tong University in 2011, and the Ph.D. degree in electrical and computer engineering from the University of Toronto in 2020. Dr. Shen has been with the School of Science and Engineering at The Chinese University of Hong Kong (CUHK), Shenzhen, China as a tenure-track assistant professor since 2020. His research interests include optimization, wireless communications, information theory, and machine learning. Dr. Shen received the IEEE Signal Processing Society Young Author Best Paper Award in 2021, and the Frontiers of Science Award in 2024. Dr. Shen currently serves as an Editor for IEEE Transactions on Wireless Communications.
题目三：基于序号调制的下一代多址接入技术研究与挑战
内容简介：序号调制多址接入是第六代(6G)通信技术，具有显著提高频谱效率、能源效率、系统性能和支持大规模连接等优点，是传统非正交多址(NOMA)技术的新扩展。本报告将首先介绍了序号调制多址接入的基本原理，然后研究了序号调制多址接入在车联网、可重构智能表面网络、协作网络和安全网络中的潜在应用，并重点介绍序号调制多址接入现有的挑战和研究机会。
报告人：李俊
报告人简介：韩国全北大学博士，广州大学副教授，IEEE Senior Member，广州市青年托举人才，广州市高层次人才青年后备人才，斯坦福大学全球前2%顶尖科学家。研究方向包括：序号调制、可重构智能表面等。主持国家自然科学基金青年项目、广东省自然科学基金青年提升项目等，主要参与国家重点研发计划课题、国家自然科学基金面上项目、广东省科技计划国际合作项目等。发表SCI/EI检索论文80余篇，授权国内发明专利10余项，其中，ESI高被引论文6篇。担任多个国际期刊编委和国际会议TPC成员。
时 间：2024年9月11日（周三）下午15：30开始
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2024年9月9日