DRX‐based energy‐efficient supervised machine learning algorithm for mobile communication networks

Author:

Ruíz‐Guirola David E.1ORCID,Rodríguez‐López Carlos A.1,Montejo‐Sánchez Samuel2ORCID,Souza Richard Demo3ORCID,Imran Muhammad Ali4

Affiliation:

1. Department of Electronics and Telecommunications Universidad Central “Marta Abreu” de Las Villas Santa Clara Cuba

2. Programa Institucional de Fomento a la I+D+i Universidad Tecnológica Metropolitana Santiago Chile

3. Electrical and Electronics Engineering Department Federal University of Santa Catarina Florianopolis Brazil

4. School of Engineering University of Glasgow Glasgow UK

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fondo Nacional de Desarrollo Científico y Tecnológico

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

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1. Evaluating degradation in emotional speech quality over a 4G telephone network;Multimedia Tools and Applications;2023-12-19

2. The Two Faces of AI in Green Mobile Computing: A Literature Review;2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA);2023-09-06

3. A Survey on DRX Mechanism: Device Power Saving From LTE and 5G New Radio to 6G Communication Systems;IEEE Communications Surveys & Tutorials;2023

4. Grant Prediction-based Dynamic Power Management for 5G to Reduce Mobile Device Energy Consumption;2022 International Wireless Communications and Mobile Computing (IWCMC);2022-05-30

5. Periodically Activating and Sleeping Devices in Internet of Things;2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2022-05-04

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