Title: Cross-System Design for Metaverse in 6G
题目：6G时代的元宇宙跨系统设计
Prof Changyang She
时间/地点：2025年3月21日 星期五 10:00 无线谷A1319
College of Information Science and Technology
Harbin Institute of Technology, Shenzhen
Email: shechangyang@hit.edu.cn
佘昌洋 教授
哈尔滨工业大学（深圳），信息科学与技术学院
邮箱：shechangyang@hit.edu.cn
Biography
Prof. 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). From 2021 to 2024, he served as the ARC DECRA fellow (Level B, Lecturer) at the University of Sydney. He is now a full professor at Harbin Institute of Technology, Shenzhen Campus (HITSZ). His research interests lie in the areas of ultra-reliable and low-latency communications (URLLC), deep learning in wireless networks, communications for AI services, and interdisciplinary research in the Metaverse.
佘昌洋于 2012年和2017年在北京航空航天大学分别获得工学学士和工学博士学位。2017-2021年分别在新加坡科技与设计大学和澳大利亚悉尼大学担任博士后研究员。202-2024年受澳大利亚基金委青年学者奖励基金资助，在澳大利亚悉尼大学担任ARC DECRA Fellow（讲师级科研岗位）。2024年加入哈尔滨工业大学深圳校区，信息科学与技术学院。长期从事移动通信系统优化和信号处理应用研究，包括超可靠低延时通信，移动人工智能和6G元宇宙跨学科研究。在相关领域发表专著章节4张，高水平期刊论文40余篇，主流会议论文30余篇。曾在顶级期刊IEEE Journal on Selected Areas in Communications和IEEE Wireless Communications担任客座编辑组织相关专题的专辑。
Abstract: 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.
摘要：作为一个新兴概念，元宇宙通过构建一个数字世界，有潜力改变后疫情时代的社会互动方式。其影响的领域涵盖在线教育、远程医疗、沉浸式商业、智能交通和先进制造等等。这个目标虽雄心勃勃，但要实现元宇宙的完整愿景，其方法和技术仍然不够明确。在本次报告中，我将首先介绍奠定元宇宙基础的三大基础设施支柱，即人机交互界面、感知与通信系统以及网络架构。以同步问题为例，我将展示如何联合设计采样、通信和预测，以最小化所需的通信负载，从而实现目标同步精度。我们针对该问题开发了一种受约束的深度强化学习算法，并利用从我们的原型系统中获取的真实数据验证了该算法的有效性。最后，我将探讨如何将这种协同设计方法扩展到更具实践意义的场景。
