Abstract
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We address a cognitive radio scenario, where a number of secondary users performs identification of which primary user, if any, is trans- mitting, in a distributed way and using limited location information. We propose two fully distributed algorithms: the first is a direct iden- tification scheme, and in the other a distributed sub-optimal detection based on a simplified Neyman-Pearson energy detector precedes the identification scheme. Both algorithms are studied analytically in a realistic transmission scenario, and the advantage obtained by detec- tion pre-processing is also verified via simulation. Finally, we give details of their fully distributed implementation via consensus aver- aging algorithms. | |
International
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Si |
Congress
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 |
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960 |
Place
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Kyoto |
Reviewers
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Si |
ISBN/ISSN
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978-1-4673-0045-2 |
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Start Date
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25/03/2012 |
End Date
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30/03/2012 |
From page
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3761 |
To page
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3764 |
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Actas de IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 |