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Optimal power allocation for a wireless cooperative network with UAV

The main objective of this work was to investigate the optimal power allocation strategy in the UAV cooperative wireless Decode and Forward (DF) relay network. Firstly, the outage probability of the system with and without diversity gain was derived. Two optimization problems were studied for differ...

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Autores principales: Yan, Jing, Deng, Xuefeng, Liu, Jihua, Wang, Liming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802779/
https://www.ncbi.nlm.nih.gov/pubmed/35174277
http://dx.doi.org/10.7717/peerj-cs.864
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author Yan, Jing
Deng, Xuefeng
Liu, Jihua
Wang, Liming
author_facet Yan, Jing
Deng, Xuefeng
Liu, Jihua
Wang, Liming
author_sort Yan, Jing
collection PubMed
description The main objective of this work was to investigate the optimal power allocation strategy in the UAV cooperative wireless Decode and Forward (DF) relay network. Firstly, the outage probability of the system with and without diversity gain was derived. Two optimization problems were studied for different application scenarios. One of the optimization problems sought to determine an optimal power allocation strategy in certain total power constraint to minimize the system outage probability. Since the optimization problem we established is convex, the Lagrange multiplier method was adopted. For the system without diversity, the explicit expression of the optimal power allocation was derived. The relationship between UAV transmission power and source node transmit power was obtained for the diversity gain system and then the Newton iterative method was used to obtain the optimal power allocation method. The simulation results show that the optimal power allocation strategy can reduce the outage probability of the system under the same conditions, and the reliability of the system was improved. Another optimization problem aimed to use the lowest power to ensure that the outage probability within a certain specific threshold for saving energy resources. Because the optimization problem is non-convex, we proposed an effective method to solve the optimal power allocation strategy. Similarly, we derived the closed-form solution of the power allocation strategy for the system without diversity. Finally, the simulation results verify the correctness of the proposed algorithm.
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spelling pubmed-88027792022-02-15 Optimal power allocation for a wireless cooperative network with UAV Yan, Jing Deng, Xuefeng Liu, Jihua Wang, Liming PeerJ Comput Sci Network Science and Online Social Networks The main objective of this work was to investigate the optimal power allocation strategy in the UAV cooperative wireless Decode and Forward (DF) relay network. Firstly, the outage probability of the system with and without diversity gain was derived. Two optimization problems were studied for different application scenarios. One of the optimization problems sought to determine an optimal power allocation strategy in certain total power constraint to minimize the system outage probability. Since the optimization problem we established is convex, the Lagrange multiplier method was adopted. For the system without diversity, the explicit expression of the optimal power allocation was derived. The relationship between UAV transmission power and source node transmit power was obtained for the diversity gain system and then the Newton iterative method was used to obtain the optimal power allocation method. The simulation results show that the optimal power allocation strategy can reduce the outage probability of the system under the same conditions, and the reliability of the system was improved. Another optimization problem aimed to use the lowest power to ensure that the outage probability within a certain specific threshold for saving energy resources. Because the optimization problem is non-convex, we proposed an effective method to solve the optimal power allocation strategy. Similarly, we derived the closed-form solution of the power allocation strategy for the system without diversity. Finally, the simulation results verify the correctness of the proposed algorithm. PeerJ Inc. 2022-01-27 /pmc/articles/PMC8802779/ /pubmed/35174277 http://dx.doi.org/10.7717/peerj-cs.864 Text en ©2022 Yan 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, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Network Science and Online Social Networks
Yan, Jing
Deng, Xuefeng
Liu, Jihua
Wang, Liming
Optimal power allocation for a wireless cooperative network with UAV
title Optimal power allocation for a wireless cooperative network with UAV
title_full Optimal power allocation for a wireless cooperative network with UAV
title_fullStr Optimal power allocation for a wireless cooperative network with UAV
title_full_unstemmed Optimal power allocation for a wireless cooperative network with UAV
title_short Optimal power allocation for a wireless cooperative network with UAV
title_sort optimal power allocation for a wireless cooperative network with uav
topic Network Science and Online Social Networks
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802779/
https://www.ncbi.nlm.nih.gov/pubmed/35174277
http://dx.doi.org/10.7717/peerj-cs.864
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