题目：人工智能在B5G和6G基带的应用：算法与实现
报告人：张川
地点：2号学院楼2202
时间：2024年5月14日14:00
报告人简介
张川，东南大学信息科学与工程学院教授、博士生导师，东南大学青年首席教授，网络通信与安全紫金山实验室课题联合负责人。东南大学Lab of Efficient Architectures for Digital-communication and Signal-processing (LEADS)负责人。主要研究方向为高效基带算法与芯片实现，包括：AI基带算法与芯片、基带电路自动生成EDA系统、2D时空信道编译码等。获国家自然科学基金重点项目、优青项目，中国工程前沿杰出青年学者，江苏青年五四奖章，江苏省杰出青年基金，江苏省“六大人才高峰”高层次人才A类，江苏省333高层次人才等。主持鹏城国家实验室课题、国家重点研发计划课题等。获东南大学“杰出教学奖”、东南大学我最喜爱的研究生导师“十佳导师”称号。担任南京市青年联合会副主席、南京杰出青年协会副会长等。担任IEEE电路与系统学会杰出讲师、IEEE J. Emer. Top. Circuits Syst.高级编委会委员、IEEE电路与系统学会CASCOM技术委员会候任主席、IEEE Trans. on Mobile Comp.指导委员会委员、及IEEE电路与系统学会旗舰会议IEEE ISCAS 2021 Tutorial Speaker等。担任IEEE Trans. Circuits Syst. II副主编、IEEE Trans. Signal Process.副主编、IEEE Open J. of Circuits and Syst.副主编、IEEE J. Emer. Top. Circuits Syst.客座主编等。担任IEEE ICCT 2022共主席、WCSP 2022技术委员会共主席、IEEE SiPS 2019大会主席、及IEEE GlobalSIP 2019和2018 Symposium主席等。
报告摘要
This lecture focuses on the very popular topic “Artificial Intelligence for Beyond 5G and 6G Baseband: Algorithms and Implementations”. Due to its undoubted significance, research combining “AI” and “B5G and 6G” has drawn lots of attentions from both academia and industry. Although some initiatives related to “AI for B5G and 6G” have been named, their design, implementation, and optimization are unfortunately not complete and of course in infancy. Having lots of potential for AI’s new innovations, advances are required in network architectures, signal processing solutions, semiconductor technologies as well as in its optimization regarding the overall wireless system design. Much of the research has scattered on the design, implementation, and optimization of the corresponding circuits and systems. This lecture would like to emphasize its uniqueness on “AI for B5G and 6G” related VLSI/IC designs and help audience to know the cutting-edge progresses from the perspective of circuits and systems. With a focus on bridging the gaps between theory and practical implementations, the goal of this lecture is to demonstrate the latest research progress on circuits and systems design for efficiently realizing machine learning in wireless communications. The lecture will bring together academic and industrial aspects to identify technical challenges and recent results related to this area, including Big Data Processing, Artificial Intelligence, Internet of Things, B5G/6G.