Evaluation of Primary User Power Impact for Joint Optimization of Energy Efficiency in Cognitive Radio Networks

Energy efficiency (EE) is of great concern in cognitive radio networks since the throughput and energy consumption of secondary users (SUs) vary with the sensing time. However, the conditions of the detection probability and false alarm probability should be respected to better protect primary users...

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Autores principales:	Tian Yang, Moez Esseghir, Lyes Khoukhi, Su Pan
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	spectrum sensing energy efficiency primary user reactivation sensing performance optimal sensing ratio Technology T
Acceso en línea:	https://doaj.org/article/b7b8e154bf2d42a1a3adbc53fe8feb2e
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spelling	oai:doaj.org-article:b7b8e154bf2d42a1a3adbc53fe8feb2e2021-11-11T15:49:49ZEvaluation of Primary User Power Impact for Joint Optimization of Energy Efficiency in Cognitive Radio Networks10.3390/en142170121996-1073https://doaj.org/article/b7b8e154bf2d42a1a3adbc53fe8feb2e2021-10-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7012https://doaj.org/toc/1996-1073Energy efficiency (EE) is of great concern in cognitive radio networks since the throughput and energy consumption of secondary users (SUs) vary with the sensing time. However, the conditions of the detection probability and false alarm probability should be respected to better protect primary users (PUs) and to improve the sensing performance of SUs. Additionally, the PUs’ minimum averaged power provision should also be regarded as a key problem of interactive linking to SUs. Therefore, an integrated design between the PU and SUs is desired for the coordination of the whole cognitive radio system, especially regarding the satisfaction of EE and performance metrics. This study formulates sensing constraints in a unified way and calculates the minimum SNR of SUs, based on which the essential PU power provision is computed. Furthermore, EE is proved as a decreasing function with the PU’s active ratio, where the maximum EE is obtained corresponding to the minimum QoS requirements of the sensing process. Hence, a bisection-based method is proposed to maximize EE, which is considered as a concave function of SUs’ sensing time and has only one unique optimum. EE’s optimization was analyzed under different fusion rules for diverse SNR conditions. The optimum was also studied with sensing performance targets for various cases of PU power provision.Tian YangMoez EsseghirLyes KhoukhiSu PanMDPI AGarticlespectrum sensingenergy efficiencyprimary user reactivationsensing performanceoptimal sensing ratioTechnologyTENEnergies, Vol 14, Iss 7012, p 7012 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	spectrum sensing energy efficiency primary user reactivation sensing performance optimal sensing ratio Technology T
spellingShingle	spectrum sensing energy efficiency primary user reactivation sensing performance optimal sensing ratio Technology T Tian Yang Moez Esseghir Lyes Khoukhi Su Pan Evaluation of Primary User Power Impact for Joint Optimization of Energy Efficiency in Cognitive Radio Networks
description	Energy efficiency (EE) is of great concern in cognitive radio networks since the throughput and energy consumption of secondary users (SUs) vary with the sensing time. However, the conditions of the detection probability and false alarm probability should be respected to better protect primary users (PUs) and to improve the sensing performance of SUs. Additionally, the PUs’ minimum averaged power provision should also be regarded as a key problem of interactive linking to SUs. Therefore, an integrated design between the PU and SUs is desired for the coordination of the whole cognitive radio system, especially regarding the satisfaction of EE and performance metrics. This study formulates sensing constraints in a unified way and calculates the minimum SNR of SUs, based on which the essential PU power provision is computed. Furthermore, EE is proved as a decreasing function with the PU’s active ratio, where the maximum EE is obtained corresponding to the minimum QoS requirements of the sensing process. Hence, a bisection-based method is proposed to maximize EE, which is considered as a concave function of SUs’ sensing time and has only one unique optimum. EE’s optimization was analyzed under different fusion rules for diverse SNR conditions. The optimum was also studied with sensing performance targets for various cases of PU power provision.
format	article
author	Tian Yang Moez Esseghir Lyes Khoukhi Su Pan
author_facet	Tian Yang Moez Esseghir Lyes Khoukhi Su Pan
author_sort	Tian Yang
title	Evaluation of Primary User Power Impact for Joint Optimization of Energy Efficiency in Cognitive Radio Networks
title_short	Evaluation of Primary User Power Impact for Joint Optimization of Energy Efficiency in Cognitive Radio Networks
title_full	Evaluation of Primary User Power Impact for Joint Optimization of Energy Efficiency in Cognitive Radio Networks
title_fullStr	Evaluation of Primary User Power Impact for Joint Optimization of Energy Efficiency in Cognitive Radio Networks
title_full_unstemmed	Evaluation of Primary User Power Impact for Joint Optimization of Energy Efficiency in Cognitive Radio Networks
title_sort	evaluation of primary user power impact for joint optimization of energy efficiency in cognitive radio networks
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b7b8e154bf2d42a1a3adbc53fe8feb2e
work_keys_str_mv	AT tianyang evaluationofprimaryuserpowerimpactforjointoptimizationofenergyefficiencyincognitiveradionetworks AT moezesseghir evaluationofprimaryuserpowerimpactforjointoptimizationofenergyefficiencyincognitiveradionetworks AT lyeskhoukhi evaluationofprimaryuserpowerimpactforjointoptimizationofenergyefficiencyincognitiveradionetworks AT supan evaluationofprimaryuserpowerimpactforjointoptimizationofenergyefficiencyincognitiveradionetworks
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Evaluation of Primary User Power Impact for Joint Optimization of Energy Efficiency in Cognitive Radio Networks

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