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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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc
2022
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Subjects: | |
Online Access: | http://eprints.utm.my/104373/1/MarwanHadriAzmi2022_MachineLearningBasedLoadBalancing.pdf http://eprints.utm.my/104373/ http://dx.doi.org/10.1109/ACCESS.2022.3161511 |
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