RAN energy efficiency and failure rate through ANN traffic predictions processing-Reference-Cited by-同舟云学术

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RAN energy efficiency and failure rate through ANN traffic predictions processing

Published:2022-02 Issue: Volume:183 Page:51-63
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Vallero Greta,Renga Daniela^ORCID,Meo Michela,Marsan Marco Ajmone

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference33 articles.

1. Relation between base station characteristics and cost structure in cellular systems;Johansson,2004

2. Dimensioning renewable energy systems to power mobile networks;Renga;IEEE Trans. Green Commun. Netw.,2019

3. Elastic resource utilization framework for high capacity and energy efficiency in cloud RAN;Pompili;IEEE Commun. Mag.,2016

4. Energy efficiency benefits of RAN-as-a-service concept for a cloud-based 5G mobile network infrastructure;Sabella;IEEE Access,2014

5. Greener RAN operation through machine learning;Vallero;IEEE Trans. Netw. Serv. Manag.,2019

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. Editorial of ACM MSWiM 2020 Special Issue;Computer Communications;2022-08

2. On Feature Selection in Short-Term Prediction of Backbone Optical Network Traffic;2022 International Conference on Optical Network Design and Modeling (ONDM);2022-05-16

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