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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Series: | Wireless Communications and Mobile Computing |
Online Access: | http://dx.doi.org/10.1155/2018/1450418 |
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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 |
work_keys_str_mv |
AT mohammedhawa sensingdevicemanagementforhistorybasedspectrumsharingincognitiveradionetworks AT fahedjubair sensingdevicemanagementforhistorybasedspectrumsharingincognitiveradionetworks AT raedalzubi sensingdevicemanagementforhistorybasedspectrumsharingincognitiveradionetworks AT ramzisaifan sensingdevicemanagementforhistorybasedspectrumsharingincognitiveradionetworks |
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1725072519360151552 |