相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Partial Computation Offloading and Adaptive Task Scheduling for 5G-Enabled Vehicular Networks
Zhaolong Ning et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2022)
Minimizing the Age-of-Critical-Information: An Imitation Learning-Based Scheduling Approach Under Partial Observations
Xiaojie Wang et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2022)
Multi-Agent Reinforcement Learning Based Resource Management in MEC- and UAV-Assisted Vehicular Networks
Haixia Peng et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2021)
Multi-Agent Imitation Learning for Pervasive Edge Computing: A Decentralized Computation Offloading Algorithm
Xiaojie Wang et al.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2021)
AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks
Huimin Hu et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
Spatiotemporal Dependable Task Execution Services in MEC-Enabled Wireless Systems
Mustafa Emara et al.
IEEE WIRELESS COMMUNICATIONS LETTERS (2021)
Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing
Liang Wang et al.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING (2021)
Resource Allocation for Energy-Efficient MEC in NOMA-Enabled Massive IoT Networks
Binghong Liu et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2021)
Joint Communication, Computation, Caching, and Control in Big Data Multi-Access Edge Computing
Anselme Ndikumana et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2020)
Age of Information Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective
Xianfu Chen et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2020)
UAV-Assisted Wireless Powered Cooperative Mobile Edge Computing: Joint Offloading, CPU Control, and Trajectory Optimization
Yuan Liu et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
A Novel Framework of Three-Hierarchical Offloading Optimization for MEC in Industrial IoT Networks
Zichao Zhao et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2020)
Toward Big Data Processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing System
Shuo Wan et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
Deep Reinforcement Learning for Efficient Data Collection in UAV-Aided Internet of Things
Peng Tong et al.
2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS (ICC WORKSHOPS) (2020)
UAV-Enabled Secure Communications by Multi-Agent Deep Reinforcement Learning
Yu Zhang et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)
Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching
Xiaofei Wang et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
Intelligent Offloading in Multi-Access Edge Computing: A State-of-the-Art Review and Framework
Bin Cao et al.
IEEE COMMUNICATIONS MAGAZINE (2019)
Federated Machine Learning: Concept and Applications
Qiang Yang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2019)
Optimized Computation Offloading Performance in Virtual Edge Computing Systems via Deep Reinforcement Learning
Xianfu Chen et al.
IEEE INTERNET OF THINGS JOURNAL (2019)
Computation Offloading and Resource Allocation For Cloud Assisted Mobile Edge Computing in Vehicular Networks
Junhui Zhao et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019)
UAV-Assisted Relaying and Edge Computing: Scheduling and Trajectory Optimization
Xiaoyan Hu et al.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2019)
On the Role of Age of Information in the Internet of Things
Mohamed A. Abd-Elmagid et al.
IEEE COMMUNICATIONS MAGAZINE (2019)
Application Aware Workload Allocation for Edge Computing-Based IoT
Qiang Fan et al.
IEEE INTERNET OF THINGS JOURNAL (2018)
Mobile Edge Computing: A Survey
Nasir Abbas et al.
IEEE INTERNET OF THINGS JOURNAL (2018)
Deep Reinforcement Learning based Computation Offloading and Resource Allocation for MEC
Ji Li et al.
2018 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC) (2018)
A Survey on Mobile Edge Computing: The Communication Perspective
Yuyi Mao et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2017)
Mobile Edge Computing: A Survey on Architecture and Computation Offloading
Pavel Mach et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2017)
Deep Reinforcement Learning A brief survey
Kai Arulkumaran et al.
IEEE SIGNAL PROCESSING MAGAZINE (2017)
Age of Information: A New Concept, Metric, and Tool
Antzela Kosta et al.
FOUNDATIONS AND TRENDS IN NETWORKING (2017)
UAV-Assisted Heterogeneous Networks for Capacity Enhancement
Vishal Sharma et al.
IEEE COMMUNICATIONS LETTERS (2016)
EdgeIoT: Mobile Edge Computing for the Internet of Things
Xiang Sun et al.
IEEE COMMUNICATIONS MAGAZINE (2016)
On the Age of Information in Status Update Systems With Packet Management
Maice Costa et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2016)
Edge Computing: Vision and Challenges
Weisong Shi et al.
IEEE INTERNET OF THINGS JOURNAL (2016)
Unmanned Aircraft Systems Air-Ground Channel Characterization for Future Applications
David W. Matolak et al.
IEEE VEHICULAR TECHNOLOGY MAGAZINE (2015)
Human-level control through deep reinforcement learning
Volodymyr Mnih et al.
NATURE (2015)
Optimal LAP Altitude for Maximum Coverage
Akram Al-Hourani et al.
IEEE WIRELESS COMMUNICATIONS LETTERS (2014)
A comprehensive survey of multiagent reinforcement learning
Lucian Busoniu et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2008)
Cooperative multi-agent learning: The state of the art
L Panait et al.
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS (2005)
分享论文
