Exploiting Historical Spectrum Occupancy Information for Adaptive Spectrum Sensing

At present wireless devices are able to select their working frequency only to a limited extend although several measurements have shown that the current spectrum regulations are inefficient. Dynamic spectrum access is seen as a promising approach that might solve this inefficiency. Spectrum sensing...

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Bibliographic Details
Published in2008 IEEE Wireless Communications and Networking Conference pp. 717 - 722
Main Authors Wellens, M., de Baynast, A., Mahonen, P.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2008
Subjects
Bandwidth
Cognitive radio
Communications Society
Current measurement
Delay
Frequency measurement
Gain measurement
Performance gain
Wireless networks
Wireless sensor networks
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ISBN1424419972
9781424419975
ISSN1525-3511
DOI10.1109/WCNC.2008.132

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Summary:At present wireless devices are able to select their working frequency only to a limited extend although several measurements have shown that the current spectrum regulations are inefficient. Dynamic spectrum access is seen as a promising approach that might solve this inefficiency. Spectrum sensing is one of the main tasks involved. We compare in this paper four methods to efficiently sense the current spectrum based on the spectrum occupancy information statistics. The parameters of all methods are extracted from spectrum occupancy data gathered during an extensive measurement campaign. We show that the usage of historical information considerably improves the spectrum sensing process. We also show that the modelling of the periodic behaviour of the licensed signals leads to negligible performance enhancements because only very few periods shorter than several minutes can be found within 20 MHz-6 GHz.
ISBN:1424419972
9781424419975
ISSN:1525-3511
DOI:10.1109/WCNC.2008.132