【计信讲坛】第
106
讲
Digital Twin for 6G and IoT
【计信讲坛】第
106
讲
Digital Twin for 6G and IoT
【计信讲坛】第
106
讲
Digital Twin for 6G and IoT
【计信讲坛】第
106
讲
Digital Twin for 6G and
ok138cn太阳集团529 IoT
【计信讲坛】第106讲 Digital Twin for 6G and IoT
——[ok138cn太阳集团529] (2021年10月7日])发布
报告名称 |
Digital Twin for 6G and IoT |
时 间 |
2021年10月09日上午10:40-11:10 |
地 点 |
信息科学楼一楼学术报告厅 |
主 讲 人 |
张彦 |
主办单位 |
ok138cn太阳集团529 |
备注 |
简介:张彦,挪威奥斯陆大学信息工程学院教授,IEEE Fellow,IET Fellow。 入选欧洲科学院院士,挪威皇家科学院院士,挪威工程院院士,2018-2020连续三年全球“高被引科学家”,2021/2020年Guide2Research 世界顶尖 1000名计算机科学和电子领域科学家榜单。近期主要研究方向为新一代无线通信网络和智能安全物联网。现任IEEE绿色通信与计算技术委员会主席,IEEE通信学会杰出讲师, IEEE车载技术学会杰出讲师,11个IEEE Transactions/Magazine期刊编委,包括IEEE Network Magazine; IEEE Communications Surveys & Tutorials;IEEE Transactions on Industrial Informatics; IEEE Transactions on Vehicular Technology; IEEE Transactions on Sustainable Computing; IEEE Transactions on Green Communications and Networking; IEEE Transactions on Networks Science and Engineering; IEEE Internet of Things Journal;IEEE Systems Journal; IEEE Vehicular Technology Magazine;以及IEEE Blockchain Tech ical Briefs。
报告简介:In this talk, we mainly introduce our recent studies on Digital Twin (DT) for edge computing, 6G, Internet of Vehicles, air-ground networks, and IoT. We will first introduce the main concepts and challenges related to Digital Twin. Then, we present a novel scenario DITEN (Digital Twin Edge Networks) and the research challenges related to offloading, edge association, and fault-tolerance. Throughout the talk, we join DT with machine learning to add intelligence (e.g., deep reinforcement learning, federated learning) for low-latency, privacy-preservation, and energy-efficiency in IoT systems. |