Machine learning-based load balancing algorithms in future heterogeneous networks: A survey

Machine learning-based load balancing algorithms in future heterogeneous networks: A survey

The massive growth of mobile users and the essential need for high communication service quality necessitate the deployment of ultra-dense heterogeneous networks (HetNets) consisting of macro, micro, pico and femto cells. Each cell type provides different cell coverage and distinct system capacity i...

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Bibliographic Details
Main Authors: Gures, Emre, Shayea, Ibraheem, Ergen, Mustafa, Azmi, Marwan Hadri, El-Saleh, Ayman A.
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc 2022
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/104373/1/MarwanHadriAzmi2022_MachineLearningBasedLoadBalancing.pdf

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http://eprints.utm.my/104373/1/MarwanHadriAzmi2022_MachineLearningBasedLoadBalancing.pdf

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