Opportunistic cooperative spectrum sensing based on eigenvalue ratio of random matrix

To overcome the deficiencies of low detection probability of traditional spectrum sensing,an EROC spectrum sensing algorithm based on the eigenvalue ratio of a random matrix was proposed.Based on the random detection theory,it used double thresholds and opportunistic cooperation to improve of tradit...

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Main Authors: Wuji ZHANG, Shunlan LIU, Jianrong BAO
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2020-02-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020043/
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author Wuji ZHANG
Shunlan LIU
Jianrong BAO
author_facet Wuji ZHANG
Shunlan LIU
Jianrong BAO
author_sort Wuji ZHANG
collection DOAJ
description To overcome the deficiencies of low detection probability of traditional spectrum sensing,an EROC spectrum sensing algorithm based on the eigenvalue ratio of a random matrix was proposed.Based on the random detection theory,it used double thresholds and opportunistic cooperation to improve of traditional maximum and minimum eigenvalue (MME) algorithm,and it retained the advantages of the traditional energy detection algorithm.Moreover,on the premise of known false alarm probability,the decision threshold was deduced,and the odd-even slot division was used to effectively realize opportunistic cooperation in reception.Simulation results show that the proposed spectrum sensing algorithm has higher detection probability than MME algorithms in case of low signal-to-noise ratio and low false alarm probability.Therefore,it is suitable for application in wireless communications with deteriorate transmission channels.
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institution Kabale University
issn 1000-0801
language zho
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publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-0ed28db8b73341918507740fb8e3c08e2025-01-15T03:01:08ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012020-02-0136616759584762Opportunistic cooperative spectrum sensing based on eigenvalue ratio of random matrixWuji ZHANGShunlan LIUJianrong BAOTo overcome the deficiencies of low detection probability of traditional spectrum sensing,an EROC spectrum sensing algorithm based on the eigenvalue ratio of a random matrix was proposed.Based on the random detection theory,it used double thresholds and opportunistic cooperation to improve of traditional maximum and minimum eigenvalue (MME) algorithm,and it retained the advantages of the traditional energy detection algorithm.Moreover,on the premise of known false alarm probability,the decision threshold was deduced,and the odd-even slot division was used to effectively realize opportunistic cooperation in reception.Simulation results show that the proposed spectrum sensing algorithm has higher detection probability than MME algorithms in case of low signal-to-noise ratio and low false alarm probability.Therefore,it is suitable for application in wireless communications with deteriorate transmission channels.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020043/spectrum sensingrandom matrix theoryeigenvalue ratioopportunistic cooperative
spellingShingle Wuji ZHANG
Shunlan LIU
Jianrong BAO
Opportunistic cooperative spectrum sensing based on eigenvalue ratio of random matrix
Dianxin kexue
spectrum sensing
random matrix theory
eigenvalue ratio
opportunistic cooperative
title Opportunistic cooperative spectrum sensing based on eigenvalue ratio of random matrix
title_full Opportunistic cooperative spectrum sensing based on eigenvalue ratio of random matrix
title_fullStr Opportunistic cooperative spectrum sensing based on eigenvalue ratio of random matrix
title_full_unstemmed Opportunistic cooperative spectrum sensing based on eigenvalue ratio of random matrix
title_short Opportunistic cooperative spectrum sensing based on eigenvalue ratio of random matrix
title_sort opportunistic cooperative spectrum sensing based on eigenvalue ratio of random matrix
topic spectrum sensing
random matrix theory
eigenvalue ratio
opportunistic cooperative
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020043/
work_keys_str_mv AT wujizhang opportunisticcooperativespectrumsensingbasedoneigenvalueratioofrandommatrix
AT shunlanliu opportunisticcooperativespectrumsensingbasedoneigenvalueratioofrandommatrix
AT jianrongbao opportunisticcooperativespectrumsensingbasedoneigenvalueratioofrandommatrix