Hypernetworks based Radio Spectrum Profiling in Cognitive Radio Networks

This paper presents a novel concept of active radio spectrum profiling f or Cognitive Radio (CR) networks using evolutionary hypernetworks. Spectrum profiling enables cognitive radio nodes to abstract and predict usable spectrum opportunities in pre-defined P rimary Users ( PU) c hannels. T he PU c...

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Main Authors: Shah Nawaz Khan, Andreas Mitschele-Thiel
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2015-05-01
Series:EAI Endorsed Transactions on Cognitive Communications
Subjects:
Online Access:http://eudl.eu/doi/10.4108/cogcom.1.2.e5
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author Shah Nawaz Khan
Andreas Mitschele-Thiel
author_facet Shah Nawaz Khan
Andreas Mitschele-Thiel
author_sort Shah Nawaz Khan
collection DOAJ
description This paper presents a novel concept of active radio spectrum profiling f or Cognitive Radio (CR) networks using evolutionary hypernetworks. Spectrum profiling enables cognitive radio nodes to abstract and predict usable spectrum opportunities in pre-defined P rimary Users ( PU) c hannels. T he PU c hannels a re actively monitored through spectrum sensing and the resulting binary time series are used for channel abstraction and prediction. An overlay spectrum sharing approach is assumed in this paper and the evolutionary hypernetworks are used for the realization of the radio spectrum profiling concept. The abstracted information not only facilitates the optimization of channel selection and mobility, but also improves the quality of service for the secondary user applications. This paper presents the main concepts, their application to CR ad hoc networks, and an analysis of its impact on the CR network performance.
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spelling doaj.art-e58b0b558573487bbbd6de40fbea10942022-12-21T20:18:15ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Cognitive Communications2313-45342015-05-011211110.4108/cogcom.1.2.e5Hypernetworks based Radio Spectrum Profiling in Cognitive Radio NetworksShah Nawaz Khan0Andreas Mitschele-Thiel1Integrated Communication Systems Group, Technische Universität Ilmenau, P.O. Box 100 565, Ilmenau 98693, Thüringen, Germany; shah-nawaz.khan@tu-ilmenau.deIntegrated Communication Systems Group, Technische Universität Ilmenau, P.O. Box 100 565, Ilmenau 98693, Thüringen, GermanyThis paper presents a novel concept of active radio spectrum profiling f or Cognitive Radio (CR) networks using evolutionary hypernetworks. Spectrum profiling enables cognitive radio nodes to abstract and predict usable spectrum opportunities in pre-defined P rimary Users ( PU) c hannels. T he PU c hannels a re actively monitored through spectrum sensing and the resulting binary time series are used for channel abstraction and prediction. An overlay spectrum sharing approach is assumed in this paper and the evolutionary hypernetworks are used for the realization of the radio spectrum profiling concept. The abstracted information not only facilitates the optimization of channel selection and mobility, but also improves the quality of service for the secondary user applications. This paper presents the main concepts, their application to CR ad hoc networks, and an analysis of its impact on the CR network performance.http://eudl.eu/doi/10.4108/cogcom.1.2.e5Channel predictionCognitive radioSpectrum profiling
spellingShingle Shah Nawaz Khan
Andreas Mitschele-Thiel
Hypernetworks based Radio Spectrum Profiling in Cognitive Radio Networks
EAI Endorsed Transactions on Cognitive Communications
Channel prediction
Cognitive radio
Spectrum profiling
title Hypernetworks based Radio Spectrum Profiling in Cognitive Radio Networks
title_full Hypernetworks based Radio Spectrum Profiling in Cognitive Radio Networks
title_fullStr Hypernetworks based Radio Spectrum Profiling in Cognitive Radio Networks
title_full_unstemmed Hypernetworks based Radio Spectrum Profiling in Cognitive Radio Networks
title_short Hypernetworks based Radio Spectrum Profiling in Cognitive Radio Networks
title_sort hypernetworks based radio spectrum profiling in cognitive radio networks
topic Channel prediction
Cognitive radio
Spectrum profiling
url http://eudl.eu/doi/10.4108/cogcom.1.2.e5
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