Cache-Assisted Collaborative Task Offloading and Resource Allocation Strategy: A Metareinforcement Learning Approach
Published 2022 View Full Article
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Title
Cache-Assisted Collaborative Task Offloading and Resource Allocation Strategy: A Metareinforcement Learning Approach
Authors
Keywords
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Journal
IEEE Internet of Things Journal
Volume 9, Issue 20, Pages 19823-19842
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2022-04-21
DOI
10.1109/jiot.2022.3168885
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- (2020) Suzhi Bi et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Deep-Reinforcement-Learning-Based Offloading Scheduling for Vehicular Edge Computing
- (2020) Wenhan Zhan et al. IEEE Internet of Things Journal
- Federated learning for 6G communications: Challenges, methods, and future directions
- (2020) Yi Liu et al. China Communications
- Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning
- (2020) Jin Wang et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Deep Reinforcement Learning-Based Intelligent Reflecting Surface for Secure Wireless Communications
- (2020) Helin Yang et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach
- (2020) Helin Yang et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Reinforcement Learning, Fast and Slow
- (2019) Matthew Botvinick et al. TRENDS IN COGNITIVE SCIENCES
- An Edge-Computing Based Architecture for Mobile Augmented Reality
- (2019) Jinke Ren et al. IEEE NETWORK
- Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges
- (2019) Zehui Xiong et al. IEEE Vehicular Technology Magazine
- Online Proactive Caching in Mobile Edge Computing Using Bidirectional Deep Recurrent Neural Network
- (2019) Laha Ale et al. IEEE Internet of Things Journal
- Joint Multi-User Computation Offloading and Data Caching for Hybrid Mobile Cloud/Edge Computing
- (2019) Xiaolong Yang et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Cache-Aware Computation Offloading in IoT Systems
- (2019) Hua Wei et al. IEEE Systems Journal
- Collaborative Service Placement for Edge Computing in Dense Small Cell Networks
- (2019) Lixing Chen et al. IEEE TRANSACTIONS ON MOBILE COMPUTING
- Energy Efficient Task Caching and Offloading for Mobile Edge Computing
- (2018) Yixue Hao et al. IEEE Access
- QoE-aware Computation Offloading to Capture Energy-Latency-Pricing Tradeoff in Mobile Clouds
- (2018) Sung-Tae Hong et al. IEEE TRANSACTIONS ON MOBILE COMPUTING
- Computation Offloading with Data Caching Enhancement for Mobile Edge Computing
- (2018) Shuai Yu et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Resource allocation and distributed uplink offloading mechanism in fog environment
- (2018) Linna Ruan et al. JOURNAL OF COMMUNICATIONS AND NETWORKS
- Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning
- (2018) Xianfu Chen et al. IEEE Internet of Things Journal
- A Survey on Mobile Edge Computing: The Communication Perspective
- (2017) Yuyi Mao et al. IEEE Communications Surveys and Tutorials
- Mobile Edge Computing: A Survey on Architecture and Computation Offloading
- (2017) Pavel Mach et al. IEEE Communications Surveys and Tutorials
- Offloading in Mobile Edge Computing: Task Allocation and Computational Frequency Scaling
- (2017) Thinh Quang Thinh et al. IEEE TRANSACTIONS ON COMMUNICATIONS
- Online Scheduling and Interference Alleviation for Low-Latency, High-Throughput Processing of Data Streams
- (2017) Thilina Buddhika et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
- (2017) Shuo Wang et al. IEEE Access
- Energy-Efficient Resource Allocation for Mobile Edge Computing-Based Augmented Reality Applications
- (2017) Ali Al-Shuwaili et al. IEEE Wireless Communications Letters
- Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
- (2016) Xu Chen et al. IEEE-ACM TRANSACTIONS ON NETWORKING
- List Scheduling Algorithm for Heterogeneous Systems by an Optimistic Cost Table
- (2014) Hamid Arabnejad et al. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
- Markov Decision Processes: A Tool for Sequential Decision Making under Uncertainty
- (2010) Oguzhan Alagoz et al. MEDICAL DECISION MAKING
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