Towards Energy Efficiency in RAN Network Slicing
Author:
Affiliation:
1. École de Technologie Supérieure (ÉTS),Département de Génie Logiciel et TI,Montreal,Canada
2. Univ Lyon, INSA Lyon, Inria, CITI,Villeurbanne,France
3. Dell Technologies,Montreal,Canada
Funder
Natural Sciences and Engineering Research Council of Canada
CHIST-ERA
Nature
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10223299/10223313/10223377.pdf?arnumber=10223377
Reference27 articles.
1. GreenSlice: An Energy-Efficient Secure Network Slicing Framework;akin;Journal of Internet Services and Information Security,2022
2. Actor-CriticBased Learning for Zero-touch Joint Resource and Energy Control in Network Slicing;rezazadeh;Proc IEEE International Conference on Communications (ICC),2021
3. Dynamic Reservation and Deep Reinforcement Learning Based Autonomous Resource Slicing for Virtualized Radio Access Networks
4. Zero-Touch AI-Driven Distributed Management for Energy-Efficient 6G Massive Network Slicing
5. Energy-Efficient Deep Reinforcement Learning Assisted Resource Allocation for 5G-RAN Slicing
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1. A Multi-Armed Bandit Game for Multi-Tenant RAN Slicing;2023 IEEE 4th International Multidisciplinary Conference on Engineering Technology (IMCET);2023-12-12
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