Performance Analysis of Wirelessly Powered Cognitive Radio Network with Statistical CSI and Random Mobility

The relentless expansion of communications services and applications in 5G networks and their further projected growth bring the challenge of necessary spectrum scarcity, a challenge which might be overcome using the concept of cognitive radio. Furthermore, an extremely high number of low-power devi...

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Main Authors: Nadica Kozić, Vesna Blagojević, Aleksandra Cvetković, Predrag Ivaniš
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/9/4518
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author Nadica Kozić
Vesna Blagojević
Aleksandra Cvetković
Predrag Ivaniš
author_facet Nadica Kozić
Vesna Blagojević
Aleksandra Cvetković
Predrag Ivaniš
author_sort Nadica Kozić
collection DOAJ
description The relentless expansion of communications services and applications in 5G networks and their further projected growth bring the challenge of necessary spectrum scarcity, a challenge which might be overcome using the concept of cognitive radio. Furthermore, an extremely high number of low-power devices are introduced by the concept of the Internet of Things (IoT), which also requires efficient energy usage and practically applicable device powering. Motivated by these facts, in this paper, we analyze a wirelessly powered underlay cognitive system based on a realistic case in which statistical channel state information (CSI) is available. In the system considered, the primary and the cognitive networks share the same spectrum band under the constraint of an interference threshold and a maximal tolerable outage permitted by the primary user. To adopt the system model in realistic IoT application scenarios in which network nodes are mobile, we consider the randomly moving cognitive user receiver. For the analyzed system, we derive the closed-form expressions for the outage probability, the outage capacity, and the ergodic capacity. The obtained analytical results are corroborated by an independent simulation method.
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spelling doaj.art-2ffc7508cd6a41fc8aca4d44304ffe282023-11-17T23:45:34ZengMDPI AGSensors1424-82202023-05-01239451810.3390/s23094518Performance Analysis of Wirelessly Powered Cognitive Radio Network with Statistical CSI and Random MobilityNadica Kozić0Vesna Blagojević1Aleksandra Cvetković2Predrag Ivaniš3School of Electrical Engineering, University of Belgrade, 11000 Belgrade, SerbiaSchool of Electrical Engineering, University of Belgrade, 11000 Belgrade, SerbiaFaculty of Mechanical Engineering, University of Nis, 18000 Nis, SerbiaSchool of Electrical Engineering, University of Belgrade, 11000 Belgrade, SerbiaThe relentless expansion of communications services and applications in 5G networks and their further projected growth bring the challenge of necessary spectrum scarcity, a challenge which might be overcome using the concept of cognitive radio. Furthermore, an extremely high number of low-power devices are introduced by the concept of the Internet of Things (IoT), which also requires efficient energy usage and practically applicable device powering. Motivated by these facts, in this paper, we analyze a wirelessly powered underlay cognitive system based on a realistic case in which statistical channel state information (CSI) is available. In the system considered, the primary and the cognitive networks share the same spectrum band under the constraint of an interference threshold and a maximal tolerable outage permitted by the primary user. To adopt the system model in realistic IoT application scenarios in which network nodes are mobile, we consider the randomly moving cognitive user receiver. For the analyzed system, we derive the closed-form expressions for the outage probability, the outage capacity, and the ergodic capacity. The obtained analytical results are corroborated by an independent simulation method.https://www.mdpi.com/1424-8220/23/9/4518cognitive radioergodic capacityInternet of Thingsoutage probabilitypower beaconrandom waypoint mobility model
spellingShingle Nadica Kozić
Vesna Blagojević
Aleksandra Cvetković
Predrag Ivaniš
Performance Analysis of Wirelessly Powered Cognitive Radio Network with Statistical CSI and Random Mobility
Sensors
cognitive radio
ergodic capacity
Internet of Things
outage probability
power beacon
random waypoint mobility model
title Performance Analysis of Wirelessly Powered Cognitive Radio Network with Statistical CSI and Random Mobility
title_full Performance Analysis of Wirelessly Powered Cognitive Radio Network with Statistical CSI and Random Mobility
title_fullStr Performance Analysis of Wirelessly Powered Cognitive Radio Network with Statistical CSI and Random Mobility
title_full_unstemmed Performance Analysis of Wirelessly Powered Cognitive Radio Network with Statistical CSI and Random Mobility
title_short Performance Analysis of Wirelessly Powered Cognitive Radio Network with Statistical CSI and Random Mobility
title_sort performance analysis of wirelessly powered cognitive radio network with statistical csi and random mobility
topic cognitive radio
ergodic capacity
Internet of Things
outage probability
power beacon
random waypoint mobility model
url https://www.mdpi.com/1424-8220/23/9/4518
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AT aleksandracvetkovic performanceanalysisofwirelesslypoweredcognitiveradionetworkwithstatisticalcsiandrandommobility
AT predragivanis performanceanalysisofwirelesslypoweredcognitiveradionetworkwithstatisticalcsiandrandommobility