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Optimal resource allocation method for energy harvesting based underlay Cognitive Radio networks

This paper proposes an optimal resource allocation method. The method is to maximize the Energy Efficiency (EE) for an Energy Harvesting (EH) enabled underlay Cognitive Radio (CR) network. First, we assumed the Secondary Users (SUs) can harvest energy from the surrounding Radio Frequency (RF) signal...

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Detalles Bibliográficos
Autores principales: Liao, Jianbin, Yu, Hongliang, Jiang, Weibin, Lin, Ruiquan, Wang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815583/
https://www.ncbi.nlm.nih.gov/pubmed/36602985
http://dx.doi.org/10.1371/journal.pone.0279886
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author Liao, Jianbin
Yu, Hongliang
Jiang, Weibin
Lin, Ruiquan
Wang, Jun
author_facet Liao, Jianbin
Yu, Hongliang
Jiang, Weibin
Lin, Ruiquan
Wang, Jun
author_sort Liao, Jianbin
collection PubMed
description This paper proposes an optimal resource allocation method. The method is to maximize the Energy Efficiency (EE) for an Energy Harvesting (EH) enabled underlay Cognitive Radio (CR) network. First, we assumed the Secondary Users (SUs) can harvest energy from the surrounding Radio Frequency (RF) signals. Then, we modelled the EE maximisation problem as a joint time and power optimization model. Next, the optimal EH time allocation factor can be calculated. After that the optimal power allocation strategy can be obtain by the fractional programming and Lagrange multiplier method. Finally simulation results show that the proposed iterative method can be better performance advantages compared with the exhaustive method and genetic algorithm. And the EE of this system model is significantly improved compared to the EE model without considering EH.
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spelling pubmed-98155832023-01-06 Optimal resource allocation method for energy harvesting based underlay Cognitive Radio networks Liao, Jianbin Yu, Hongliang Jiang, Weibin Lin, Ruiquan Wang, Jun PLoS One Research Article This paper proposes an optimal resource allocation method. The method is to maximize the Energy Efficiency (EE) for an Energy Harvesting (EH) enabled underlay Cognitive Radio (CR) network. First, we assumed the Secondary Users (SUs) can harvest energy from the surrounding Radio Frequency (RF) signals. Then, we modelled the EE maximisation problem as a joint time and power optimization model. Next, the optimal EH time allocation factor can be calculated. After that the optimal power allocation strategy can be obtain by the fractional programming and Lagrange multiplier method. Finally simulation results show that the proposed iterative method can be better performance advantages compared with the exhaustive method and genetic algorithm. And the EE of this system model is significantly improved compared to the EE model without considering EH. Public Library of Science 2023-01-05 /pmc/articles/PMC9815583/ /pubmed/36602985 http://dx.doi.org/10.1371/journal.pone.0279886 Text en © 2023 Liao et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Liao, Jianbin
Yu, Hongliang
Jiang, Weibin
Lin, Ruiquan
Wang, Jun
Optimal resource allocation method for energy harvesting based underlay Cognitive Radio networks
title Optimal resource allocation method for energy harvesting based underlay Cognitive Radio networks
title_full Optimal resource allocation method for energy harvesting based underlay Cognitive Radio networks
title_fullStr Optimal resource allocation method for energy harvesting based underlay Cognitive Radio networks
title_full_unstemmed Optimal resource allocation method for energy harvesting based underlay Cognitive Radio networks
title_short Optimal resource allocation method for energy harvesting based underlay Cognitive Radio networks
title_sort optimal resource allocation method for energy harvesting based underlay cognitive radio networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815583/
https://www.ncbi.nlm.nih.gov/pubmed/36602985
http://dx.doi.org/10.1371/journal.pone.0279886
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