Optimal periodic cooperative spectrum sensing based on weight fusion in cognitive radio networks

The performance of cooperative spectrum sensing in cognitive radio (CR) networks depends on the sensing mode, the sensing time and the number of cooperative users. In order to improve the sensing performance and reduce the interference to the primary user (PU), a periodic cooperative spectrum sensin...

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Main Authors: Liu, Xin, Jia, Min, Gu, Xuemai, Tan, Xuezhi
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2014
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Online Access:https://hdl.handle.net/10356/101831
http://hdl.handle.net/10220/18756
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1018312022-02-16T16:29:18Z Optimal periodic cooperative spectrum sensing based on weight fusion in cognitive radio networks Liu, Xin Jia, Min Gu, Xuemai Tan, Xuezhi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering The performance of cooperative spectrum sensing in cognitive radio (CR) networks depends on the sensing mode, the sensing time and the number of cooperative users. In order to improve the sensing performance and reduce the interference to the primary user (PU), a periodic cooperative spectrum sensing model based on weight fusion is proposed in this paper. Moreover, the sensing period, the sensing time and the searching time are optimized, respectively. Firstly the sensing period is optimized to improve the spectrum utilization and reduce the interference, then the joint optimization algorithm of the local sensing time and the number of cooperative users, is proposed to obtain the optimal sensing time for improving the throughput of the cognitive radio user (CRU) during each period, and finally the water-filling principle is applied to optimize the searching time in order to make the CRU find an idle channel within the shortest time. The simulation results show that compared with the previous algorithms, the optimal sensing period can improve the spectrum utilization of the CRU and decrease the interference to the PU significantly, the optimal sensing time can make the CRU achieve the largest throughput, and the optimal searching time can make the CRU find an idle channel with the least time. Published version 2014-02-04T07:36:03Z 2019-12-06T20:45:13Z 2014-02-04T07:36:03Z 2019-12-06T20:45:13Z 2013 2013 Journal Article Liu, X., Jia, M., Gu, X., & Tan, X. (2013). Optimal Periodic Cooperative Spectrum Sensing Based on Weight Fusion in Cognitive Radio Networks. Sensors, 13(4), 5251-5272. 1424-8220 https://hdl.handle.net/10356/101831 http://hdl.handle.net/10220/18756 10.3390/s130405251 23604027 en Sensors © 2013 The Authors. This paper was published in Sensors and is made available as an electronic reprint (preprint) with permission of The Authors. The paper can be found at the following official DOI: [http://dx.doi.org/10.3390/s130405251].  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Liu, Xin
Jia, Min
Gu, Xuemai
Tan, Xuezhi
Optimal periodic cooperative spectrum sensing based on weight fusion in cognitive radio networks
description The performance of cooperative spectrum sensing in cognitive radio (CR) networks depends on the sensing mode, the sensing time and the number of cooperative users. In order to improve the sensing performance and reduce the interference to the primary user (PU), a periodic cooperative spectrum sensing model based on weight fusion is proposed in this paper. Moreover, the sensing period, the sensing time and the searching time are optimized, respectively. Firstly the sensing period is optimized to improve the spectrum utilization and reduce the interference, then the joint optimization algorithm of the local sensing time and the number of cooperative users, is proposed to obtain the optimal sensing time for improving the throughput of the cognitive radio user (CRU) during each period, and finally the water-filling principle is applied to optimize the searching time in order to make the CRU find an idle channel within the shortest time. The simulation results show that compared with the previous algorithms, the optimal sensing period can improve the spectrum utilization of the CRU and decrease the interference to the PU significantly, the optimal sensing time can make the CRU achieve the largest throughput, and the optimal searching time can make the CRU find an idle channel with the least time.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Liu, Xin
Jia, Min
Gu, Xuemai
Tan, Xuezhi
format Article
author Liu, Xin
Jia, Min
Gu, Xuemai
Tan, Xuezhi
author_sort Liu, Xin
title Optimal periodic cooperative spectrum sensing based on weight fusion in cognitive radio networks
title_short Optimal periodic cooperative spectrum sensing based on weight fusion in cognitive radio networks
title_full Optimal periodic cooperative spectrum sensing based on weight fusion in cognitive radio networks
title_fullStr Optimal periodic cooperative spectrum sensing based on weight fusion in cognitive radio networks
title_full_unstemmed Optimal periodic cooperative spectrum sensing based on weight fusion in cognitive radio networks
title_sort optimal periodic cooperative spectrum sensing based on weight fusion in cognitive radio networks
publishDate 2014
url https://hdl.handle.net/10356/101831
http://hdl.handle.net/10220/18756
_version_ 1725985514615472128