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Multiband Spectrum Sensing and Power Allocation for aCognitive Radio-Enabled Smart Grid
As part of an Internet of Things (IoT) framework, the Smart Grid (SG) relies on advanced communication technologies for efficient energy management and utilization. Cognitive Radio (CR), which allows Secondary Users (SUs) to opportunistically access and use the spectrum bands owned by Primary Users...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709499/ https://www.ncbi.nlm.nih.gov/pubmed/34960476 http://dx.doi.org/10.3390/s21248384 |
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author | Wang, Jun Jiang, Weibin Wang, Hongjun Huang, Yanwei Chen, Riqing Lin, Ruiquan |
author_facet | Wang, Jun Jiang, Weibin Wang, Hongjun Huang, Yanwei Chen, Riqing Lin, Ruiquan |
author_sort | Wang, Jun |
collection | PubMed |
description | As part of an Internet of Things (IoT) framework, the Smart Grid (SG) relies on advanced communication technologies for efficient energy management and utilization. Cognitive Radio (CR), which allows Secondary Users (SUs) to opportunistically access and use the spectrum bands owned by Primary Users (PUs), is regarded as the key technology of the next-generation wireless communication. With the assistance of CR technology, the quality of communication in the SG could be improved. In this paper, based on a hybrid CR-enabled SG communication network, a new system architecture for multiband-CR-enabled SG communication is proposed. Then, some optimization mathematical models are also proposed to jointly find the optimal sensing time and the optimal power allocation strategy. By using convex optimization techniques, several optimal methods are proposed to maximize the data rate of multiband-CR-enabled SG while considering the minimum detection probabilities to the active PUs. Finally, simulations are presented to show the validity of the proposed methods. |
format | Online Article Text |
id | pubmed-8709499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87094992021-12-25 Multiband Spectrum Sensing and Power Allocation for aCognitive Radio-Enabled Smart Grid Wang, Jun Jiang, Weibin Wang, Hongjun Huang, Yanwei Chen, Riqing Lin, Ruiquan Sensors (Basel) Article As part of an Internet of Things (IoT) framework, the Smart Grid (SG) relies on advanced communication technologies for efficient energy management and utilization. Cognitive Radio (CR), which allows Secondary Users (SUs) to opportunistically access and use the spectrum bands owned by Primary Users (PUs), is regarded as the key technology of the next-generation wireless communication. With the assistance of CR technology, the quality of communication in the SG could be improved. In this paper, based on a hybrid CR-enabled SG communication network, a new system architecture for multiband-CR-enabled SG communication is proposed. Then, some optimization mathematical models are also proposed to jointly find the optimal sensing time and the optimal power allocation strategy. By using convex optimization techniques, several optimal methods are proposed to maximize the data rate of multiband-CR-enabled SG while considering the minimum detection probabilities to the active PUs. Finally, simulations are presented to show the validity of the proposed methods. MDPI 2021-12-15 /pmc/articles/PMC8709499/ /pubmed/34960476 http://dx.doi.org/10.3390/s21248384 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Jun Jiang, Weibin Wang, Hongjun Huang, Yanwei Chen, Riqing Lin, Ruiquan Multiband Spectrum Sensing and Power Allocation for aCognitive Radio-Enabled Smart Grid |
title | Multiband Spectrum Sensing and Power Allocation for aCognitive Radio-Enabled Smart Grid |
title_full | Multiband Spectrum Sensing and Power Allocation for aCognitive Radio-Enabled Smart Grid |
title_fullStr | Multiband Spectrum Sensing and Power Allocation for aCognitive Radio-Enabled Smart Grid |
title_full_unstemmed | Multiband Spectrum Sensing and Power Allocation for aCognitive Radio-Enabled Smart Grid |
title_short | Multiband Spectrum Sensing and Power Allocation for aCognitive Radio-Enabled Smart Grid |
title_sort | multiband spectrum sensing and power allocation for acognitive radio-enabled smart grid |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709499/ https://www.ncbi.nlm.nih.gov/pubmed/34960476 http://dx.doi.org/10.3390/s21248384 |
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