Towards Energy Efficiency in RAN Network Slicing

Author:

Phyu Hnin Pann1,Naboulsi Diala1,Stanica Razvan2,Poitau Gwenael3

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

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

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. A Comprehensive Overview of Network Slicing for Improving the Energy Efficiency of Fifth-Generation Networks;Sensors;2024-05-20

2. 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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