Adaptive block sampling for spectrum sensing

Ali Tajer, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper considers spectrum access in wideband channels and its objective is to design an agile and reliable mechanism for identifying spectrum opportunities. Driven by the need for reducing the time required for identifying spectrum opportunities, the idea of data-adaptive and sequential block sampling is proposed, through which instead of examining each channel individually, a cognitive user takes samples that are linear combinations of simultaneous measurements from multiple channels. If such coarse samples indicate that the block of channels contains at least a vacant (unused) channel, then the channels are examined individually in order to accumulate more information about their spectral occupancy states, and otherwise, the entire block is discarded and the process resumes sequentially by examining the next block of channels.

Original languageEnglish (US)
Title of host publication2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
Pages372-375
Number of pages4
DOIs
StatePublished - Dec 1 2013
Externally publishedYes
Event2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013 - Saint Martin, France
Duration: Dec 15 2013Dec 18 2013

Publication series

Name2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013

Other

Other2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
CountryFrance
CitySaint Martin
Period12/15/1312/18/13

All Science Journal Classification (ASJC) codes

  • Computer Science Applications

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