一、讲座安排
1.讲座时间：2025年9月18日9:00-11:00
2.讲座地点：南湖校区一教304
二、特邀嘉宾及主讲内容
1.Title: High-Fidelity and Efficient Simulator for 6G Space-Terrestrial Integrated Networks
主讲人：Xuemin (Sherman) Shen
Abstract：
Space-terrestrial integrated networks are envisioned to realize a giant leap forward for the future sixth generation (6G) coverage expansion, bridging digital divide for remote areas and providing ubiquitous services. In this talk, we provide an overview of the team's recent endeavors in the high-fidelity and efficient simulator for 6G space-terrestrial integrated networks with low-Earth-orbit (LEO) mega-constellation satellites. Particularly, we introduce a systematic, scalable and comprehensive simulation architecture, which enables high-fidelity modeling of network configurations and high efficiency simulation of network operation and management capabilities, while providing users with intuitive visualizations. Our developed simulator can offer fresh perspectives and novel avenues for evaluating critical technologies and validating essential methods in the context of 6G space-terrestrial integrated networks and large-scale LEO constellation ultra-dense networking.
Biography:
Xuemin (Sherman) Shen is an University Professor at the University of Waterloo, Canada. His research interests include network resource management, wireless network security, AI for networks, and future communication systems. Professor Shen is the Technical Program Committee Chair for IEEE Globecom'24, Globecom'16, IEEE Infocom14, and IEEE VTC’10 Fall. He was the Editor-in-Chief of the IEEE Internet of Things Journal, IEEE Network, and IET Communications. Professor Shen served as the 2022-2023 President of IEEE Communications Society. He is a Fellow of the IEEE, Royal Society of Canada, Canadian Academy of Engineering, and Engineering Institute of Canada, a Foreign Member of Chinese Academy of Engineering, and an International Fellow of the Engineering Academy of Japan.
2.Title: On Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence
主讲人：Nei Kato
Abstract:
It is widely acknowledged that the development of traditional terrestrial communication technologies is unable to provide all users with fair and high quality services due to the scarce network resources and limited coverage areas. To complement the terrestrial connection, particularly for users in rural, disaster-stricken, and/or other difficult-to-serve areas, satellites, unmanned aerial vehicles (UAV), and balloons have been utilized to relay the communication signals. Recently, the Space-Air-Ground Integrated Networks, referred to as SAGINs, were proposed to improve the users’ Quality of Experience (QoE). However, compared with existing networks such as ad hoc networks and cellular networks, the SAGINs are much more complex due to the various characteristics of the three network segments. In order to improve the network performance of SAGINs, researchers are confronting many unprecedented challenges. In this keynote, I will demonstrate how the Artificial Intelligence (AI) technique, in particular deep learning, can be harnessed to optimize the SAGINs. As the AI technique has shown its predominant advantages in many applications, in the keynote, I will analyze several main challenges of SAGINs and explain how these problems can be solved by AI. I will also consider the satellite traffic balancing as an example and present a deep learning based method to improve the traffic control performance. I will show how the state-of-the-art deep learning techniques such as deep convolutional neural networks and LLM that can be exploited to uniquely characterize the inputs and outputs of the SAGINs. I will also focus on issues such as datasets needed to train such deep learning architectures that are essential to acquire accurate training and prediction.
Biography:
Nei Kato is a full professor and the Dean with Graduate School of Information Sciences, Tohoku University. He has researched on computer networking, wireless mobile communications, satellite communications, ad hoc & sensor & mesh networks, UAV networks, AI, IoT, and Big Data. He is the Editor-in-Chief of IEEE Internet of Things Journal, the fellow committee chair of IEEE VTS. He is a Fellow of the Engineering Academy of Japan, a Fellow of IEEE, and a Fellow of IEICE.
欢迎广大师生参与本次学术交流会。
