小莹和父亲梅开二度txt | Dr. Changyang She:Cross-System Design for Metaverse in 6G

发布者:李晓婉发布时间:2024-01-03浏览次数:10

报告题目Cross-System Design for Metaverse in 6G


报告时间:2024年1月4日周四上午10:00


报告地点:信息楼133会议室




报告摘要: As an emerging concept, the Metaverse has the potential to revolutionize the social interaction in the post-pandemic era by establishing a digital world for online education, remote healthcare, immersive business, intelligent transportation, and advanced manufacturing. The goal is ambitious, yet the methodologies and technologies to achieve the full vision of the Metaverse remain unclear. In this talk, I will first introduce the three infrastructure pillars that lay the foundation of the Metaverse, i.e., human-computer interfaces, sensing and communication systems, and network architectures. By taking synchronization problem as an example, I will illustrate how to jointly design sampling, communications, and prediction. The goal is to minimize the required communication load to achieve a target synchronization accuracy. A constrained deep reinforcement learning algorithm is developed to solve this problem. We validate the effectiveness of the algorithm with real-world data obtained from our prototype. Finally, I will discuss how to extend the co-design method into more practical scenarios.



主讲人简介: Dr. Changyang She received his B. Eng degree in Honors College of Beihang University, Beijing, China in 2012 and Ph.D. degree from the School of Electronics and Information Engineering of Beihang University in 2017. From 2017 to 2018, he was a postdoctoral research fellow at the Singapore University of Technology and Design. From 2018 to 2021, he was a postdoctoral research associate at the University of Sydney. He is the recipient of the Australian Research Council (ARC) Discovery Early Career Research Award (DECRA). Since 2021, he serves as the ARC DECRA fellow (Level B, Lecturer) at the University of Sydney. His research interests lie in the areas of ultra-reliable and low-latency communications (URLLC), deep learning in wireless networks, mobile edge computing, energy-efficient communications, and interdisciplinary research in the metaverse.