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Optimal Power Allocation and Relay Location for DF Energy Harvesting Relaying Sensor Networks

This paper considers a simultaneous wireless information and power transfer (SWIPT) based decode-and-forward (DF) relaying sensor network, where the “save-and-forward” strategy is utilized at the relay sensor node. We investigate a joint power splitting (PS) and relay location (RL) optimization sche...

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Detalles Bibliográficos
Autores principales: Yang, Shizhao, Lu, Guangyue, Ren, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566512/
https://www.ncbi.nlm.nih.gov/pubmed/31137551
http://dx.doi.org/10.3390/s19102326
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author Yang, Shizhao
Lu, Guangyue
Ren, Yuan
author_facet Yang, Shizhao
Lu, Guangyue
Ren, Yuan
author_sort Yang, Shizhao
collection PubMed
description This paper considers a simultaneous wireless information and power transfer (SWIPT) based decode-and-forward (DF) relaying sensor network, where the “save-and-forward” strategy is utilized at the relay sensor node. We investigate a joint power splitting (PS) and relay location (RL) optimization scheme for delay-sensitive transmission mode using the instantaneous channel state information (CSI). In particular, two optimization problems are formulated to minimize the outage probability and maximize the average capacity, respectively. For the two optimization problems, the optimal solutions to the PS ratio and RL are obtained based on the instantaneous CSI. On the basis of optimal solutions, the analytical expressions for outage probability and average capacity are derived, and the corresponding achievable throughputs are obtained. Numerical results verify the correctness of theoretical derivations and validate the advantages of our proposed scheme.
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spelling pubmed-65665122019-06-17 Optimal Power Allocation and Relay Location for DF Energy Harvesting Relaying Sensor Networks Yang, Shizhao Lu, Guangyue Ren, Yuan Sensors (Basel) Article This paper considers a simultaneous wireless information and power transfer (SWIPT) based decode-and-forward (DF) relaying sensor network, where the “save-and-forward” strategy is utilized at the relay sensor node. We investigate a joint power splitting (PS) and relay location (RL) optimization scheme for delay-sensitive transmission mode using the instantaneous channel state information (CSI). In particular, two optimization problems are formulated to minimize the outage probability and maximize the average capacity, respectively. For the two optimization problems, the optimal solutions to the PS ratio and RL are obtained based on the instantaneous CSI. On the basis of optimal solutions, the analytical expressions for outage probability and average capacity are derived, and the corresponding achievable throughputs are obtained. Numerical results verify the correctness of theoretical derivations and validate the advantages of our proposed scheme. MDPI 2019-05-20 /pmc/articles/PMC6566512/ /pubmed/31137551 http://dx.doi.org/10.3390/s19102326 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yang, Shizhao
Lu, Guangyue
Ren, Yuan
Optimal Power Allocation and Relay Location for DF Energy Harvesting Relaying Sensor Networks
title Optimal Power Allocation and Relay Location for DF Energy Harvesting Relaying Sensor Networks
title_full Optimal Power Allocation and Relay Location for DF Energy Harvesting Relaying Sensor Networks
title_fullStr Optimal Power Allocation and Relay Location for DF Energy Harvesting Relaying Sensor Networks
title_full_unstemmed Optimal Power Allocation and Relay Location for DF Energy Harvesting Relaying Sensor Networks
title_short Optimal Power Allocation and Relay Location for DF Energy Harvesting Relaying Sensor Networks
title_sort optimal power allocation and relay location for df energy harvesting relaying sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566512/
https://www.ncbi.nlm.nih.gov/pubmed/31137551
http://dx.doi.org/10.3390/s19102326
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