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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Format: | Article |
Language: | English |
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European Alliance for Innovation (EAI)
2015-05-01
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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. |
first_indexed | 2024-12-19T14:07:18Z |
format | Article |
id | doaj.art-e58b0b558573487bbbd6de40fbea1094 |
institution | Directory Open Access Journal |
issn | 2313-4534 |
language | English |
last_indexed | 2024-12-19T14:07:18Z |
publishDate | 2015-05-01 |
publisher | European Alliance for Innovation (EAI) |
record_format | Article |
series | EAI Endorsed Transactions on Cognitive Communications |
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 |
work_keys_str_mv | AT shahnawazkhan hypernetworksbasedradiospectrumprofilingincognitiveradionetworks AT andreasmitschelethiel hypernetworksbasedradiospectrumprofilingincognitiveradionetworks |