Latency-Aware Mean Field Game-Based Task Offloading Strategy in Metro Optical Networks
We propose a task offloading strategy based on mean-field game in metro optical networks. The finite difference method is used to solve the problem, and the task latency is 30% lower than multi-agent reinforcement learning.
Authors
- Shan Yin (ORCID: https://orcid.org/0000-0002-4874-4135)
- Mengru Cai
- Chenyu You (ORCID: https://orcid.org/0000-0001-8365-7822)
- Honglei Wang (ORCID: https://orcid.org/0000-0003-0355-8619)
- Shanguo Huang
Institutions
- Beijing University of Posts and Telecommunications (CN)
- State Key Laboratory of Information Photonics and Optical Communications
- Beijing University of Chemical Technology (CN)
Publication Details
- Published
- 2024-11-02
- DOI
- https://doi.org/10.1109/acp/ipoc63121.2024.10809790
- Citations
- 1
- Primary Topic
- Advanced Optical Network Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.21
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Beijing Municipality