Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems
VTT Technical Research Centre of Finland（芬兰VTT技术研究中心）；University of Electro-Communications（电气通信大学）；Shizuoka University（静冈大学）；Zhejiang University（浙江大学）；University of Oulu（奥卢大学）；Catholic University of America（美国天主教大学）；National Institute of Informatics（国立信息学研究所）
Xianfu Chen, Celimuge Wu, Tao Chen, Zhi Liu, Honggang Zhang, Mehdi Bennis, Hang Liu, Yusheng Ji
This paper studies the problem of information freshness-aware task offloading in an air-ground integrated multi-access edge computing system, which is deployed by an infrastructure provider (InP). A third-party real-time application service provider provides computing services to the subscribed mobile users (MUs) with the limited communication and computation resources from the InP based on a long-term business agreement. Due to the dynamic characteristics, the interactions among the MUs are modelled by a non-cooperative stochastic game, in which the control policies are coupled and each MU aims to selfishly maximize its own expected long-term payoff. To address the Nash equilibrium solutions, we propose that each MU behaves in accordance with the local system states and conjectures, based on which the stochastic game is transformed into a single-agent Markov decision process. Moreover, we derive a novel online deep reinforcement learning (RL) scheme that adopts two separate double deep Q-networks for each MU to approximate the Q-factor and the post-decision Q-factor. Using the proposed deep RL scheme, each MU in the system is able to make decisions without a priori statistical knowledge of dynamics. Numerical experiments examine the potentials of the proposed scheme in balancing the age of information and the energy consumption.
AoI-Aware Task Offloading and Transmission Optimization for Industrial IoT Networks: A Branching Deep Reinforcement Learning Approach
Laboratory of Future Networks, University of Science and Technology of China（未来网络实验室，中国科学技术大学）；Deep Space Exploration Laboratory（深空探测实验室）；Department of Computing, The Hong Kong Polytechnic University（computing系，香港理工大学）
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks
School of Computer Science and Engineering, Central South University（中南大学计算机科学与工程学院）；Graduate School of Information Sciences (GSIS), Tohoku University（东北大学信息科学研究生院）
Multi-Agent DRL for Queue-Aware Task Offloading in Hierarchical MEC-Enabled Air-Ground Networks
Hamad Bin Khalifa University（哈马德·本·哈利法大学）；College of Science and Engineering（科学与工程学院）；Division of Information and Computing Technology（信息与计算技术系）；College of Engineering, Qatar University（卡塔尔大学工程学院）
Deep Reinforcement Learning for Delay-Oriented IoT Task Scheduling in Space-Air-Ground Integrated Network
University of Waterloo（滑铁卢大学）；Zhejiang University（浙江大学）；Huazhong University of Science and Technology（华中科技大学）；Central South University（中南大学）；Xidian University（西安电子科技大学）
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics（南京航空航天大学电子信息工程学院）；School of Information Science and Technology, ShanghaiTech University（上海科技大学信息科学与技术学院）；Beijing Institute of Technology（北京理工大学）；Yangtze Delta Region Academy of Beijing Institute of Technology (Jiaxing)（北京理工大学长三角研究院（嘉兴））；Advanced Technology Research Institute of Beijing Institute of Technology (Jinan)（北京理工大学先进技术研究院（济南））；Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology（北京理工大学先进交叉科学研究院）
Cluster-Based Multi-Agent Task Scheduling for Space-Air-Ground Integrated Networks
School of Information and Communication Engineering, University of Electronic Science and Technology of China（电子科技大学信息与通信工程学院）；College of Computing and Data Science, Nanyang Technological University（南洋理工大学计算与数据科学学院）
Energy-Efficient Hybrid Data Computation via Coordinated AirComp and Edge Offloading
Shenzhen Research Institute of Northwestern Polytechnical University（西北工业大学深圳研究院）；School of Electronics and Information, Northwestern Polytechnical University（西北工业大学电子与信息工程学院）；School of Information and Communication Engineering, Xi’an Jiaotong University（西安交通大学信息与通信工程学院）；School of Mechanical Engineering, Xi’an Jiaotong University（西安交通大学机械工程学院）；College of Computing and Data Science, Nanyang Technological University（南洋理工大学计算与数据科学学院）；Department of Electrical and Computer Engineering, University of Houston（休斯顿大学电气与计算机工程系）
Cost Minimization for Space-Air-Ground Integrated Multi-Access Edge Computing Systems
College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University（计算机科学与技术学院，教育部符号计算与知识工程重点实验室，吉林大学）；College of Computing and Data Science, Nanyang Technological University（计算与数据科学学院，南洋理工大学）；Department of Electrical and Computer Engineering, Sungkyunkwan University（电气与计算机工程系，釜山大学）；Department of Computer Science and Engineering, Kyung Hee University（计算机科学与工程系，韩国庆熙大学）
Task Delay and Energy Consumption Minimization for Low-altitude MEC via Evolutionary Multi-objective Deep Reinforcement Learning
College of Computer Science and Technology, Jilin University（吉林大学计算机科学与技术学院）；College of Computing and Data Science, Nanyang Technological University（南洋理工大学计算与数据科学学院）；College of Software, Jilin University（吉林大学软件学院）；Department of Electrical and Computer Engineering, Auburn University（奥本大学电气与计算机工程系）
Metasurfaces-Integrated Wireless Neural Networks for Lightweight Over-The-Air Edge Inference
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens（信息与电信系，雅典国家与卡波迪斯蒂亚大学）；National Inter-University Consortium for Telecommunications (CNIT)（电信国家大学联合体（CNIT））；DIAG Department, Sapienza University of Rome（罗马萨皮恩扎大学DIAG系）；DIET Department, Sapienza University of Rome（罗马萨皮恩扎大学DIET系）
