D-BigBand: Sensing GHz-Wide non-sparse spectrum on commodity radios

Lixin Shi, Haitham Hassanieh, Dina Katab

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

Abstract

This paper presents D-BigBand, a system that senses a GHz-wide spectrum in real time using ADCs sampling at only tens of MS/s speed. It is an advanced version of our previous work, BigBand, which senses GHz-wide sparse spectrum using commodity radios. However, unlike BigBand that requires the spectrum to be sparse, D-BigBand does not assume sparsity utilization of the spectrum. This is particularly important for the spectrum under 2GHz which is typically not sparse, crowded with different wireless technologies like TV broadcasting, mobile, AM radios, etc. The key idea of D-BigBand is to run sparse recovery on the changes of the spectrum: since only a small fraction of the spectrum is likely to change its occupancy over short intervals of a few milliseconds, the changes of the spectrum is sparse and we can apply sparse recovery to it. Our evaluation shows that D-BigBand works even if 95% of the spectrum is occupied.

Original languageEnglish (US)
Title of host publicationS3 2014 - Proceedings of the 6th ACM MobiCom Workshop on Wireless of the Students, by the Students, for the Students
PublisherAssociation for Computing Machinery, Inc
Pages13-15
Number of pages3
ISBN (Electronic)9781450330732
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
Event6th ACM MobiCom Workshop on Wireless of the Students, by the Students, for the Students, S3 2014 - Maui, United States
Duration: Sep 7 2014Sep 7 2014

Publication series

NameS3 2014 - Proceedings of the 6th ACM MobiCom Workshop on Wireless of the Students, by the Students, for the Students

Other

Other6th ACM MobiCom Workshop on Wireless of the Students, by the Students, for the Students, S3 2014
CountryUnited States
CityMaui
Period9/7/149/7/14

Keywords

  • ADC
  • Software Radios
  • Sparse Fourier Transform
  • Spectrum Sensing
  • Wireless

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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