Nei Kato教授專題報告

發布時間:2024-11-24浏覽次數:10

報告題目:On OptimizingSpace-Air-Ground Integrated Networks by Artificial Intelligence

報告人:Nei Kato Professorof Tohoku University

報告時間:2024年11月25日(周一)14:30

報告地點:三牌樓校區科研樓208會議室



報告摘要:

 It is widely acknowledged that thedevelopment of traditional terrestrial communication technologies is unable toprovide all users with fair and high quality services due to the scarce networkresources and limited coverage areas. To complement the terrestrial connection,particularly for users in rural, disaster-stricken, and/or otherdifficult-to-serve areas, satellites, unmanned aerial vehicles (UAV), andballoons have been utilized to relay the communication signals. Recently, theSpace-Air-Ground Integrated Networks, referred to as SAGINs, were proposed toimprove the users’ Quality of Experience (QoE). However, compared with existingnetworks such as ad hoc networks and cellular networks, the SAGINs are muchmore complex due to the various characteristics of the three network segments.In order to improve the network performance of SAGINs, researchers areconfronting many unprecedented challenges. In this keynote, I will demonstratehow the Artificial Intelligence (AI) technique, in particular deep learning,can be harnessed to optimize the SAGINs. As the AI technique has shown itspredominant advantages in many applications, in the keynote, I will analyzeseveral main challenges of SAGINs and explain how these problems can be solvedby AI. I will also consider the satellite traffic balancing as an example and presenta deep learning based method to improve the traffic control performance. I willshow how the state-of-the-art deep learning techniques such as deepconvolutional neural networks can be exploited to uniquely characterize theinputs and outputs of the SAGINs. I will also focus on issues such as datasetsneeded to train such deep learning architectures that are essential to acquireaccurate training and prediction.


報告人簡介:

 professor kato:Nei Kato is a full professor and the Dean with Graduate School ofInformation Sciences, Tohoku University. He has researched on computernetworking, wireless mobile communications, satellite communications, ad hoc& sensor & mesh networks, UAV networks, AI, IoT, and Big Data. He isthe Editor-in-Chief of IEEE Internet of Things Journal, the fellow committeechair of IEEE VTS. He is a Fellow of the Engineering Academy of Japan, a Fellowof IEEE,and a Fellow of IEICE.


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