A Deep Reinforcement Learning-based Resource Management Scheme for SDN-MEC-supported XR Applications

Author:

Trinh Bao1,Muntean Gabriel-Miro2

Affiliation:

1. Dublin City University,Insight SFI Research Centre for Data Analytics,Dublin,Republic of Ireland

2. Dublin City University,School of Electronic Engineering,Dublin,Republic of Ireland

Funder

Science Foundation Ireland

Publisher

IEEE

Cited by 8 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. A DRL-Based Multi-Priority Task Division Scheduling Strategy in IIoT;2024 IEEE 35th International Conference on Application-specific Systems, Architectures and Processors (ASAP);2024-07-24

2. Dependent Task Offloading and Resource Allocation via Deep Reinforcement Learning for Extended Reality in Mobile Edge Networks;Electronics;2024-06-27

3. Rendering Delay Minimization for VR Streaming in Social Networks with RIS-Assisted Edge Computing;ICC 2024 - IEEE International Conference on Communications;2024-06-09

4. A Reinforcement Learning-based Orchestrator for Edge Computing Resource Allocation in Mobile Augmented Reality Systems;2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2023-09-05

5. A Survey of Energy Optimization Approaches for Computational Task Offloading and Resource Allocation in MEC Networks;Electronics;2023-08-22

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