Skip to main navigation menu Skip to main content Skip to site footer
Español (España) | English
Editorial
Revistas / Journals
Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
Home
Issue
Current Issue Previous Issues Special Issue
About
About the Journal Editorial Team Privacy Statement Digital preservation policy Contact
Submissions
Author Guidelines Peer Review Process Ethical aspects Open Access Policy and Copyright Anti-plagiarism policy Crossmark policy page
Indexing
×
Español (España) | English
Editorial

Salud, Ciencia y Tecnología Metaverse Basic and Applied Research Data & Metadata Interdisciplinary Rehabilitation Salud, Ciencia y Tecnología - Serie de Conferencias Community and Interculturality in Dialogue Seminars in Medical Writing and Education Health Leadership and Quality of Life Gamification and Augmented Reality Southern perspective / Perspectiva austral
Home

Current Issue Previous Issues Special Issue

About the Journal Editorial Team Privacy Statement Digital preservation policy Contact

Author Guidelines Peer Review Process Ethical aspects Open Access Policy and Copyright Anti-plagiarism policy Crossmark policy page
Indexing
Original
Published: 2024-05-20
DOI: https://doi.org/10.56294/dm2024333

Optimizing Energy Consumption in 5G HetNets: A Coordinated Approach for Multi-Level Picocell Sleep Mode with Q-Learning

By
Macoumba Fall ,
Macoumba Fall

IASSE Laboratory, Sidi Mohamed Ben Abdellah University, Fez, Morocco

Search this author on:

PubMed | Google Scholar
Mohammed Fattah ,
Mohammed Fattah

IMAGE Laboratory, Sidi Mohamed Ben Abdellah University, Fez, Morocco

Search this author on:

PubMed | Google Scholar
Mohammed Mahfoudi ,
Mohammed Mahfoudi

ISE Laboratory, Abdelmalek Essaadi University, Tetuan, Morocco

Search this author on:

PubMed | Google Scholar
Younes Balboul ,
Younes Balboul

IASSE Laboratory, Sidi Mohamed Ben Abdellah University, Fez, Morocco

Search this author on:

PubMed | Google Scholar
Said Mazer ,
Said Mazer

IASSE Laboratory, Sidi Mohamed Ben Abdellah University, Fez, Morocco

Search this author on:

PubMed | Google Scholar
Moulhime El Bekkali ,
Moulhime El Bekkali

IASSE Laboratory, Sidi Mohamed Ben Abdellah University, Fez, Morocco

Search this author on:

PubMed | Google Scholar
Ahmed D. Kora ,
Ahmed D. Kora

EDMI, Cheikh Anta Diop University, Dakar, Senegal

Search this author on:

PubMed | Google Scholar

Abstract

Cell standby, particularly picocell sleep mode (SM), is a prominent strategy for reducing energy consumption in 5G networks. The emergence of multi-state sleep states necessitates new optimization approaches. This paper proposes a novel energy optimization strategy for 5G heterogeneous networks (HetNets) that leverages macrocell-picocell coordination and machine learning. The proposed strategy focuses on managing the four available picocell sleep states. The picocell manages the first three states using the Q-learning algorithm, an efficient reinforcement learning technique. The associated macrocell based on picocell energy efficiency controls the final, deeper sleep state. This hierarchical approach leverages localized and network-wide control strengths for optimal energy savings. By capitalizing on macrocell-picocell coordination and machine learning, this work presents a promising solution for achieving significant energy reduction in 5G HetNets while maintaining network performance.

Keywords:

5G,
HetNets,
energy consumption,
energy modeling,
sleep mode,
machine learning,

How to Cite

1.
Fall M, Fattah M, Mahfoudi M, Balboul Y, Mazer S, El Bekkali M, Kora AD. Optimizing Energy Consumption in 5G HetNets: A Coordinated Approach for Multi-Level Picocell Sleep Mode with Q-Learning. Data and Metadata [Internet]. 2024 May 20 [cited 2024 Jul. 7];3:333. Available from: https://dm.saludcyt.ar/index.php/dm/article/view/333

Copyright Notice

The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.

Article metrics

Google scholar: See link

Metrics

Metrics Loading ...

Vol. 3 (2024)
See full issue

The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.