Evaluating Inter-Operator Cooperation Scenarios to Save Radio Access Network Energy-Reference-Cited by-同舟云学术

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Evaluating Inter-Operator Cooperation Scenarios to Save Radio Access Network Energy

Published:2022-07-06 Issue: Volume: Page:
ISSN:
Container-title:2022 1st International Conference on 6G Networking (6GNet)
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Author:

Marjou Xavier¹,Le Gleau Tangui¹,Messie Vincent¹,Radier Benoit¹,Lemlouma Tayeb²,Fromentoux Gael¹

Affiliation:

1. Orange Labs Lannion Orange,Lannion,France

2. IUT Lannion IRISA,Lannion,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9830118/9830162/09830283.pdf?arnumber=9830283

Reference16 articles.

1. The Complexity of Decentralized Control of Markov Decision Processes;bernstein;CoRR,2013

2. OpenAI Gym;brockman,2016

3. RLlib: Abstractions for Distributed Reinforcement Learning;liang,2018

4. The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games;yu;CoRR,2021

5. Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot;leibo;Proceedings of the 38th International Conference on Machine Learning,0

Cited by 2 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. Towards Cross-domain Resilience in SDN-enabled Smart Power Grids: Enabling Information Sharing through Dataspaces;2023 IEEE International Conference on Omni-layer Intelligent Systems (COINS);2023-07-23

2. Toward Greener 5G and Beyond Radio Access Networks—A Survey;IEEE Open Journal of the Communications Society;2023

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