Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks

The main challenge for a cognitive radio is to detect the existence of primary users reliably in order to minimise the interference to licensed communications. Hence, spectrum sensing is a most important requirement of a cognitive radio. However, due to the channel uncertainties, local observations...

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Main Authors: Kamran Arshad, Muhammad Ali Imran, Klaus Moessner
Format: Article
Language:English
Published: Hindawi Limited 2010-01-01
Series:International Journal of Digital Multimedia Broadcasting
Online Access:http://dx.doi.org/10.1155/2010/424036
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author Kamran Arshad
Muhammad Ali Imran
Klaus Moessner
author_facet Kamran Arshad
Muhammad Ali Imran
Klaus Moessner
author_sort Kamran Arshad
collection DOAJ
description The main challenge for a cognitive radio is to detect the existence of primary users reliably in order to minimise the interference to licensed communications. Hence, spectrum sensing is a most important requirement of a cognitive radio. However, due to the channel uncertainties, local observations are not reliable and collaboration among users is required. Selection of fusion rule at a common receiver has a direct impact on the overall spectrum sensing performance. In this paper, optimisation of collaborative spectrum sensing in terms of optimum decision fusion is studied for hard and soft decision combining. It is concluded that for optimum fusion, the fusion centre must incorporate signal-to-noise ratio values of cognitive users and the channel conditions. A genetic algorithm-based weighted optimisation strategy is presented for the case of soft decision combining. Numerical results show that the proposed optimised collaborative spectrum sensing schemes give better spectrum sensing performance.
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spelling doaj.art-72afe4972c8b40d994e073c83c8792132024-11-02T05:31:31ZengHindawi LimitedInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862010-01-01201010.1155/2010/424036424036Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio NetworksKamran Arshad0Muhammad Ali Imran1Klaus Moessner2Centre for Communication Systems Research, University of Surrey, Guildford GU2 7XH, UKCentre for Communication Systems Research, University of Surrey, Guildford GU2 7XH, UKCentre for Communication Systems Research, University of Surrey, Guildford GU2 7XH, UKThe main challenge for a cognitive radio is to detect the existence of primary users reliably in order to minimise the interference to licensed communications. Hence, spectrum sensing is a most important requirement of a cognitive radio. However, due to the channel uncertainties, local observations are not reliable and collaboration among users is required. Selection of fusion rule at a common receiver has a direct impact on the overall spectrum sensing performance. In this paper, optimisation of collaborative spectrum sensing in terms of optimum decision fusion is studied for hard and soft decision combining. It is concluded that for optimum fusion, the fusion centre must incorporate signal-to-noise ratio values of cognitive users and the channel conditions. A genetic algorithm-based weighted optimisation strategy is presented for the case of soft decision combining. Numerical results show that the proposed optimised collaborative spectrum sensing schemes give better spectrum sensing performance.http://dx.doi.org/10.1155/2010/424036
spellingShingle Kamran Arshad
Muhammad Ali Imran
Klaus Moessner
Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks
International Journal of Digital Multimedia Broadcasting
title Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks
title_full Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks
title_fullStr Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks
title_full_unstemmed Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks
title_short Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks
title_sort collaborative spectrum sensing optimisation algorithms for cognitive radio networks
url http://dx.doi.org/10.1155/2010/424036
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