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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Language: | zho |
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Editorial Department of Journal on Communications
2011-01-01
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Series: | Tongxin xuebao |
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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 |