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Energy Optimization in Ultra-Dense Radio Access Networks via Traffic-Aware Cell Switching

  • Published:2021-06 Issue:2 Volume:5 Page:832-845
  • ISSN:2473-2400
  • Container-title:IEEE Transactions on Green Communications and Networking
  • language:
  • Short-container-title:IEEE Trans. on Green Commun. Netw.

Author:

Ozturk MetinORCID,Abubakar Attai IbrahimORCID,Nadas Joao Pedro Battistella,Rais Rao Naveed BinORCID,Hussain SajjadORCID,Imran Muhammad AliORCID

Funder

Engineering and Physical Sciences Research Council (GCRF) funds

Ajman University

Republic of Turkey Ministry of National Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Renewable Energy, Sustainability and the Environment

Cited by 19 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. Landscape-enabled algorithmic design for the cell switch-off problem in 5G ultra-dense networks;Engineering Optimization;2024-06-19

2. Deep Reinforcement Learning for Joint Energy Saving and Traffic Handling in xG RAN;ICC 2024 - IEEE International Conference on Communications;2024-06-09

3. A Lightweight Machine Learning Approach for Delay-Aware Cell-Switching in 6G HAPS Networks;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09

4. Digital transformation in wireless networks: A comprehensive analysis of mobile data offloading techniques, challenges, and future prospects;Journal of King Saud University - Computer and Information Sciences;2024-06

5. Green Security in Ultra-Dense Networks;IEEE Transactions on Vehicular Technology;2024-06
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