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Opportunistic spectrum sharing in cognitive radio networks

This Springer Brief investigates spectrum sharing with limited channel feedback in various cognitive radio systems, such as point-to-point, broadcast scheduling and ad-hoc networks. The design aim is to optimally allocate the secondary resources to improve the throughput of secondary users while mai...

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Detalles Bibliográficos
Autores principales: Wang, Zhe, Zhang, Wei
Lenguaje:eng
Publicado: Springer 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-15542-5
http://cds.cern.ch/record/2005792
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author Wang, Zhe
Zhang, Wei
author_facet Wang, Zhe
Zhang, Wei
author_sort Wang, Zhe
collection CERN
description This Springer Brief investigates spectrum sharing with limited channel feedback in various cognitive radio systems, such as point-to-point, broadcast scheduling and ad-hoc networks. The design aim is to optimally allocate the secondary resources to improve the throughput of secondary users while maintaining a certain quality of service for primary users. The analytical results of optimal resource allocation are derived via optimization theory and are verified by the numerical results. The results demonstrate the secondary performance is significantly improved by limited feedback and is further improved by more feedback bits, more secondary receivers and more primary side information.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
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spelling cern-20057922021-04-21T20:24:34Zdoi:10.1007/978-3-319-15542-5http://cds.cern.ch/record/2005792engWang, ZheZhang, WeiOpportunistic spectrum sharing in cognitive radio networksEngineeringThis Springer Brief investigates spectrum sharing with limited channel feedback in various cognitive radio systems, such as point-to-point, broadcast scheduling and ad-hoc networks. The design aim is to optimally allocate the secondary resources to improve the throughput of secondary users while maintaining a certain quality of service for primary users. The analytical results of optimal resource allocation are derived via optimization theory and are verified by the numerical results. The results demonstrate the secondary performance is significantly improved by limited feedback and is further improved by more feedback bits, more secondary receivers and more primary side information.Springeroai:cds.cern.ch:20057922015
spellingShingle Engineering
Wang, Zhe
Zhang, Wei
Opportunistic spectrum sharing in cognitive radio networks
title Opportunistic spectrum sharing in cognitive radio networks
title_full Opportunistic spectrum sharing in cognitive radio networks
title_fullStr Opportunistic spectrum sharing in cognitive radio networks
title_full_unstemmed Opportunistic spectrum sharing in cognitive radio networks
title_short Opportunistic spectrum sharing in cognitive radio networks
title_sort opportunistic spectrum sharing in cognitive radio networks
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-15542-5
http://cds.cern.ch/record/2005792
work_keys_str_mv AT wangzhe opportunisticspectrumsharingincognitiveradionetworks
AT zhangwei opportunisticspectrumsharingincognitiveradionetworks