Date & Time: 

2023 / 04 / 28 (Fri) 14:20 - 16:20

Location: 

Delta Building R216, NTHU

Speaker: 

 陳昱嘉 教授

國立中央大學 通訊工程學系

Topic: 

When UAV Swarm Networks Meet Deep Reinforcement Learning: Recent Advances and Future Directions

Abstract: 

The sixth-generation (6G) network aims to provide seamless global connectivity and high-speed broadband access through developing non-terrestrial networks (NTNs) which integrate unmanned aerial vehicles (UAVs) networks, high altitude platform systems, and satellite communication networks. However, NTNs are complex systems due to their decentralized and ad-hoc nature. In particular, a large number of network entities in NTNs such as UAVs need to make local and autonomous decisions to optimize different design objectives including completion time minimization and throughput maximization. Conventional optimization techniques like convex optimization are difficult to handle such large-scale problems, especially in a much more uncertain and stochastic environment. In recent years, deep reinforcement learning (DRL) has been developing as a promising solution to overcome these challenges. In this talk, the following subjects will be addressed: (i) multi-agent distributed/federated reinforcement learning (RL) technique for UAV-assisted mobile edge computing, (ii) self-imitation learning for UAV trajectory optimization, (iii) DRL with graph neural network (GNN) for NTN base station deployment, and (iv) multi-agent RL for non-terrestrial base station deployment. Finally, future research directions will be discussed.

Biography: 

陳昱嘉教授於2015年獲得國立交通大學電信工程博士學位。從2015年到2018年陳教授於國立交通大學擔任博士後研究，2018年到2019年至美國哈佛大學John A. Paulson 工程與應用學院進行訪問研究，陳教授自2019年進入國立中央大學通訊系任教至今。陳昱嘉教授之研究領域包括智慧空中通訊網路、網路編碼技術及物聯網安全，目前累積的研究成果，共有超過50篇著作，發表論文集中於IEEE TVT, TNSE, TPDS, IoT-J等資通訊領域頂級期刊，陳教授曾獲科技部博士後研究人員學術著作獎、潘文淵考察研究獎、國科會優良研究成果展示獎、中央大學學術研究傑出獎等，並多次獲邀至國際知名研討會如IEEE GLOBECOM、VTC擔任Tutorial Speaker。陳教授具備許多研發實務的經驗，並在教育部或產業界舉辦之全國競賽中有14次獲獎經驗，包括三次教育部大專院校資訊應用服務創新競賽第一名。