Graph neural network-based cell switching for energy optimization in ultra-dense heterogeneous networks

Kang Tan; Duncan Bremner; Julien Le Kernec; Yusuf Sambo; Lei Zhang; Muhammad Ali Imran

doi:10.1038/s41598-022-25800-3

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Graph neural network-based cell switching for energy optimization in ultra-dense heterogeneous networks

Kang Tan Duncan Bremner Julien Le Kernec Yusuf Sambo Lei Zhang Muhammad Ali Imran

Year: 2022 Journal: Scientific Reports Vol: 12 (1)Pages: 21581-21581 Publisher: Nature Portfolio

DOI: 10.1038/s41598-022-25800-3

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Keywords:

Computer science Scalability Heterogeneous network Heuristic Efficient energy use Energy consumption Artificial neural network Software deployment Graph Generalization Distributed computing Artificial intelligence Wireless network Wireless Theoretical computer science Telecommunications Engineering

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Advanced MIMO Systems Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Cooperative Communication and Network Coding

Physical Sciences → Computer Science → Computer Networks and Communications

Caching and Content Delivery

Physical Sciences → Computer Science → Computer Networks and Communications

Graph neural network-based cell switching for energy optimization in ultra-dense heterogeneous networks

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