Decentralized Cooperative Caching and Offloading for Virtual Reality Task based on GAN-Powered Multi-Agent Reinforcement Learning
Author:
Affiliation:
1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications (BUPT), Beijing, China
2. James Watt School of Engineering, University of Glasgow, Glasgow, U.K.
Funder
National Natural Science Foundation of China
Beijing Natural Science Fund-Haidian Original Innovation Joint Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture
Link
http://xplorestaging.ieee.org/ielx7/4629386/4629387/10375746.pdf?arnumber=10375746
Reference37 articles.
1. Communications, Caching, and Computing for Mobile Virtual Reality: Modeling and Tradeoff
2. Energy-Efficient Task Offloading and Resource Allocation via Deep Reinforcement Learning for Augmented Reality in Mobile Edge Networks
3. Smart Mode Selection Using Online Reinforcement Learning for VR Broadband Broadcasting in D2D Assisted 5G HetNets
4. Furion: Engineering High-Quality Immersive Virtual Reality on Today's Mobile Devices
5. Joint Computation Offloading and Resource Allocation for D2D-Assisted Mobile Edge Computing
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1. Two-timescale joint service caching and resource allocation for task offloading with edge–cloud cooperation;Computer Networks;2024-12
2. Multi-Cluster Cooperative Offloading for VR Task: A MARL Approach With Graph Embedding;IEEE Transactions on Mobile Computing;2024-09
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