A Survey on Green Enablers: A Study on the Energy Efficiency of AI-Based 5G Networks.

Ezzeddine, Zeinab; Khalil, Ayman; Zeddini, Besma; Ouslimani, Habiba Hafdallah

Ezzeddine, Zeinab; Khalil, Ayman; Zeddini, Besma; Ouslimani, Habiba Hafdallah.

Afiliação

Ezzeddine Z; Laboratory of Electrochemistry of Materials for Energetics (LEME) EA 4416, University Paris, 92410 Nanterre, France.
Khalil A; SATIE Laboratory CNRS-UMR 8029, CY Tech, CY Cergy Paris University, 95000 Cergy, France.
Zeddini B; Adnan Kassar School of Business, Lebanese American University, Beirut 1102-2801, Lebanon.
Ouslimani HH; SATIE Laboratory CNRS-UMR 8029, CY Tech, CY Cergy Paris University, 95000 Cergy, France.

Sensors (Basel) ; 24(14)2024 Jul 16.

Article em En | MEDLINE | ID: mdl-39066007

Palavras-chave

Internet of Things (IoT); artificial intelligence (AI); energy efficiency; key performance indicators (KPIs); machine learning (ML); quality of service (QoS)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: França

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