Distributed cooperative spectrum sensing based on consensus optimization

A distributed wideband spectrum compressive sensing approach based on consensus optimization was developed.The cognitive radio users firstly collected the time-domain sampling by compressive sampling and recover the local spectrum.Then the spectrum of primary users is recovered jointly by cooperativ...

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Main Authors: ZENG Fan-zi, LIU Jie, LI Ren-fa, ZENG Qing-guang
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2011-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74420152/
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author ZENG Fan-zi
LIU Jie
LI Ren-fa
ZENG Qing-guang
author_facet ZENG Fan-zi
LIU Jie
LI Ren-fa
ZENG Qing-guang
author_sort ZENG Fan-zi
collection DOAJ
description A distributed wideband spectrum compressive sensing approach based on consensus optimization was developed.The cognitive radio users firstly collected the time-domain sampling by compressive sampling and recover the local spectrum.Then the spectrum of primary users is recovered jointly by cooperative cognitive radio users,which utilizes iterative consensus optimization to reach globally sensing outcomes via one-hop local communication only.In particular,a weighted consensus-averaging constraint is introduced to reduce the number of the consensus constraints,which lowers the computation loads and expedites the convergence.The convergence of the proposed distributed cooperative spectrum sensing scheme is proved analytically.Simulations demonstrate that the proposed scheme can effectively sense the spectrum from compressive sample.
format Article
id doaj-art-7a8fe6fef992419d83cc4a7d13ffa59b
institution Kabale University
issn 1000-436X
language zho
publishDate 2011-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-7a8fe6fef992419d83cc4a7d13ffa59b2025-01-14T08:23:30ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-013214715274420152Distributed cooperative spectrum sensing based on consensus optimizationZENG Fan-ziLIU JieLI Ren-faZENG Qing-guangA distributed wideband spectrum compressive sensing approach based on consensus optimization was developed.The cognitive radio users firstly collected the time-domain sampling by compressive sampling and recover the local spectrum.Then the spectrum of primary users is recovered jointly by cooperative cognitive radio users,which utilizes iterative consensus optimization to reach globally sensing outcomes via one-hop local communication only.In particular,a weighted consensus-averaging constraint is introduced to reduce the number of the consensus constraints,which lowers the computation loads and expedites the convergence.The convergence of the proposed distributed cooperative spectrum sensing scheme is proved analytically.Simulations demonstrate that the proposed scheme can effectively sense the spectrum from compressive sample.http://www.joconline.com.cn/zh/article/74420152/distributed spectrum sensingcompressive samplingcooperative sensingconsensus optimization
spellingShingle ZENG Fan-zi
LIU Jie
LI Ren-fa
ZENG Qing-guang
Distributed cooperative spectrum sensing based on consensus optimization
Tongxin xuebao
distributed spectrum sensing
compressive sampling
cooperative sensing
consensus optimization
title Distributed cooperative spectrum sensing based on consensus optimization
title_full Distributed cooperative spectrum sensing based on consensus optimization
title_fullStr Distributed cooperative spectrum sensing based on consensus optimization
title_full_unstemmed Distributed cooperative spectrum sensing based on consensus optimization
title_short Distributed cooperative spectrum sensing based on consensus optimization
title_sort distributed cooperative spectrum sensing based on consensus optimization
topic distributed spectrum sensing
compressive sampling
cooperative sensing
consensus optimization
url http://www.joconline.com.cn/zh/article/74420152/
work_keys_str_mv AT zengfanzi distributedcooperativespectrumsensingbasedonconsensusoptimization
AT liujie distributedcooperativespectrumsensingbasedonconsensusoptimization
AT lirenfa distributedcooperativespectrumsensingbasedonconsensusoptimization
AT zengqingguang distributedcooperativespectrumsensingbasedonconsensusoptimization