Sensing Device Management for History-Based Spectrum Sharing in Cognitive Radio Networks

A novel approach to managing a fully distributed cognitive radio network (CRN) is presented. This approach builds on the concept of history-based spectrum access, in which cognitive base stations (BSs) independently estimate the system load using history records and adaptively swap their occupied sp...

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Main Authors: Mohammed Hawa, Fahed Jubair, Raed Al-Zubi, Ramzi Saifan
Format: Article
Language:English
Published: Hindawi-Wiley 2018-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2018/1450418
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spelling doaj-e7dac1fc8b9d4817bed61712e7248c9c2020-11-25T01:34:23ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772018-01-01201810.1155/2018/14504181450418Sensing Device Management for History-Based Spectrum Sharing in Cognitive Radio NetworksMohammed Hawa0Fahed Jubair1Raed Al-Zubi2Ramzi Saifan3Electrical Engineering Department, The University of Jordan, Amman 11942, JordanComputer Engineering Department, The University of Jordan, Amman 11942, JordanElectrical Engineering Department, The University of Jordan, Amman 11942, JordanComputer Engineering Department, The University of Jordan, Amman 11942, JordanA novel approach to managing a fully distributed cognitive radio network (CRN) is presented. This approach builds on the concept of history-based spectrum access, in which cognitive base stations (BSs) independently estimate the system load using history records and adaptively swap their occupied spectrum bands to ensure allocation fairness and high overall throughput. In addition, cognitive BSs monitor primary user (PU) behavior in order to avoid interfering with active PUs. In this work, we address two issues that afflict history-based access: the first is the high cost of the sensing devices needed at each cognitive BS to be able to independently draw conclusions about the status of the CRN and the second is the unreliability inherent in practical sensing hardware (such as energy detectors). Simulation results show that the proposed technique manages to solve the two abovementioned issues without any noticeable drop in performance and without sacrificing the distributed nature of the protocol.http://dx.doi.org/10.1155/2018/1450418
collection DOAJ
language English
format Article
sources DOAJ
author Mohammed Hawa
Fahed Jubair
Raed Al-Zubi
Ramzi Saifan
spellingShingle Mohammed Hawa
Fahed Jubair
Raed Al-Zubi
Ramzi Saifan
Sensing Device Management for History-Based Spectrum Sharing in Cognitive Radio Networks
Wireless Communications and Mobile Computing
author_facet Mohammed Hawa
Fahed Jubair
Raed Al-Zubi
Ramzi Saifan
author_sort Mohammed Hawa
title Sensing Device Management for History-Based Spectrum Sharing in Cognitive Radio Networks
title_short Sensing Device Management for History-Based Spectrum Sharing in Cognitive Radio Networks
title_full Sensing Device Management for History-Based Spectrum Sharing in Cognitive Radio Networks
title_fullStr Sensing Device Management for History-Based Spectrum Sharing in Cognitive Radio Networks
title_full_unstemmed Sensing Device Management for History-Based Spectrum Sharing in Cognitive Radio Networks
title_sort sensing device management for history-based spectrum sharing in cognitive radio networks
publisher Hindawi-Wiley
series Wireless Communications and Mobile Computing
issn 1530-8669
1530-8677
publishDate 2018-01-01
description A novel approach to managing a fully distributed cognitive radio network (CRN) is presented. This approach builds on the concept of history-based spectrum access, in which cognitive base stations (BSs) independently estimate the system load using history records and adaptively swap their occupied spectrum bands to ensure allocation fairness and high overall throughput. In addition, cognitive BSs monitor primary user (PU) behavior in order to avoid interfering with active PUs. In this work, we address two issues that afflict history-based access: the first is the high cost of the sensing devices needed at each cognitive BS to be able to independently draw conclusions about the status of the CRN and the second is the unreliability inherent in practical sensing hardware (such as energy detectors). Simulation results show that the proposed technique manages to solve the two abovementioned issues without any noticeable drop in performance and without sacrificing the distributed nature of the protocol.
url http://dx.doi.org/10.1155/2018/1450418
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AT raedalzubi sensingdevicemanagementforhistorybasedspectrumsharingincognitiveradionetworks
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