题目：Machine Learning for Optimization in Dense Wireless Networks
报告人：Dr. Jun Zhang，香港理工大学助理教授
时间：2019年6月27日（周四）上午10:00-11:30
地点：计算中心楼B415会议室
联系人：朱宇
欢迎感兴趣的老师和同学参加！
Abstract
The upcoming 5G embraces network densification as a key enabling technology to meet the ever-increasing demand in capacity. With more and more radio access points, tremendous burdens will be put on the algorithmic aspect of wireless communications. In particular, computationally efficient algorithms are needed for solving various high-dimensional, typically non-convex, resource allocation problems in wireless dense networks (DenseNets). Meanwhile, we have recently witnessed the success of applying machine learning techniques to different application domains, including solving optimization problems. This talk will present a machine learning based framework for mixed-integer resource allocation problems in DenseNets. Compared with existing studies on “learning to optimize” for wireless networks, this new framework requires much fewer training samples; it is capable of transferring to a new network setting with a few additional unlabeled samples; it can outperform sub-optimal algorithms that are used to generate training samples.
Biography
Dr. Jun Zhang received the Ph.D. degree in Electrical and Computer Engineering from the University of Texas at Austin. He is currently an Assistant Professor in the Department of Electronic and Information Engineering at the Hong Kong Polytechnic University (PolyU). His research interests include wireless communications and networking, mobile edge computing and edge learning, distributed learning and optimization, and big data analytics.
Dr. Zhang co-authored the books Fundamentals of LTE (Prentice-Hall, 2010), and Stochastic Geometry Analysis of Multi-Antenna Wireless Networks (Springer, 2019). He is a co-recipient of the 2019 IEEE Communications Society & Information Theory Society Joint Paper Award, the 2016 Marconi Prize Paper Award in Wireless Communications (the best paper award of IEEE Transactions on Wireless Communications), the 2014 Best Paper Award for the EURASIP Journal on Advances in Signal Processing. Two papers he co-authored received the Young Author Best Paper Award of the IEEE Signal Processing Society in 2016 and 2018, respectively. He also received the 2016 IEEE ComSoc Asia-Pacific Best Young Researcher Award. He is an Editor of IEEE Transactions on Wireless Communications and Journal of Communications and Information Networks.
