Toward accurate energy-efficient cellular network

Author:

Cao Bin1,Fan Jing1,Yuan Mingxuan2,Li Yanhua3

Affiliation:

1. Zhejiang University of Technology, Hangzhou, China

2. Huawei Noah's Ark Lab, Hong Kong

3. Worcester Polytechnic Institute, Worcester, MA

Publisher

ACM

Reference20 articles.

1. Ericsson: Innovative Ψ-coverage solution. http://www.ericsson.com/thecompany/sustainability_corporateresponsibility/reducing_our_environmental_impact/energy_efficient_portfolio/innovative_coverage_solution 2014. Ericsson: Innovative Ψ-coverage solution. http://www.ericsson.com/thecompany/sustainability_corporateresponsibility/reducing_our_environmental_impact/energy_efficient_portfolio/innovative_coverage_solution 2014.

2. 3GPP. Solutions for energy saving within utra node b 2010. 3GPP. Solutions for energy saving within utra node b 2010.

3. An energy efficient hierarchical clustering algorithm for wireless sensor networks

4. Breathe to stay cool

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1. Research Trends in the Use of Machine Learning Applied in Mobile Networks: A Bibliometric Approach and Research Agenda;Informatics;2023-09-09

2. Traffic Prediction Based Power Saving in Cellular Networks;Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems;2017-11-07

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