2023-04-25
浏览次数：572报告题目：Quantum Machine Learning for 6G Communication Networks
报告人：Mohamad Yusoff Alias
报告时间：2023年4月28日周五15:30 - 16:30
报告地点：腾讯会议ID：760-455-641
主持人：柯峰（电子与信息学院）
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摘要：
The fifth generation (5G) mobile communication networks have started being deployed around the world from mid of 2019. Since 5G has been standardized, researchers are now shifting the focus towards the sixth generation (6G) mobile communication networks to meet the requirements of future network beyond the year 2030. One of the key enhancements in 6G is to introduce higher number of antennas to improve spatial diversity. In order to take advantage of the spatial diversity of spreading information over multiple spatial and temporal degrees of freedom, space-time codes can be employed in the communication system. However, if the propagation channel changes quickly, the training required for coherent communications will require too much overhead. This issue can be solved using noncoherent communication where there is a lack of channel knowledge at both the transmitter and receiver. On the other hand, the theory of quantum error correction (QEC) has been employed to correct a broad class of channel errors. Classical error correcting codes have been extended to create many families of QEC. In this work, we propose an extension to the space-time approach to noncoherent communication channel using QEC. This talk focuses on the recent research activities in Quantum Machine Learning for 6G Communication Networks.
个人简历:
MOHAMAD YUSOFF ALIAS obtained the Bachelor of Science in Engineering (Electrical Engineering) degree from the University of Michigan, Ann Arbor, in May 1998. He received his Ph.D. degree in December 2004 from the School of Electronics and Computer Science (ECS), University of Southampton in the United Kingdom. He has been attached to Multimedia University (MMU) since 1st September 1998 until now and is currently a Professor at the Faculty of Engineering, Multimedia University, Malaysia.His research interests cover the field of wireless communications especially in OFDM, multiple antenna system, multiuser detection, genetic algorithms in communications, multimedia applications and visible light communications. He is also the counsellor for the Institute for Electrical and Electronics Engineer (IEEE) MMU Student Branch since its establishment in 2007.In 2020, he has been awarded the 2020 IEEE Outstanding Branch Counsellor & Branch Chapter Advisor Award given by IEEE USA. He has been a member of IEEE since 2002 and part of the organizing committee members for the 2019 IEEE Vehicular Technology Conference (VTC) in Kuala Lumpur. In 2022, he has been elected as the Chair for IEEE Malaysia Communication Society & Vehicular Technology Society (ComSoc/VTS) Joint Chapter for 2022-2024.