Learning-Based Prediction, Rendering and Association Optimization for MEC-Enabled Wireless Virtual Reality (VR) Networks
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications
Link
http://xplorestaging.ieee.org/ielx7/7693/9564292/09411714.pdf?arnumber=9411714
Cited by 43 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Attention-Based QoE-Aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality;IEEE Transactions on Wireless Communications;2024-09
2. Distributed Task Scheduling for MEC-Assisted Virtual Reality: A Fully-Cooperative Multiagent Perspective;IEEE Transactions on Vehicular Technology;2024-07
3. Dependent Task Offloading and Resource Allocation via Deep Reinforcement Learning for Extended Reality in Mobile Edge Networks;Electronics;2024-06-27
4. OR2M: a novel optimized resource rendering methodology for wireless networks based on virtual reality (VR) applications;Wireless Networks;2024-05-29
5. Computation-Efficient Offloading and Power Control for MEC in IoT Networks by Meta-Reinforcement Learning;IEEE Internet of Things Journal;2024-05-01
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