GHz-wide sensing and decoding using the sparse Fourier transform

Haitham Hassanieh, Lixin Shi, Omid Abari, Ezzeldin Hamed, Dina Katabi

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

Abstract

We present BigBand, a technology that can capture GHz of spectrum in realtime without sampling the signal at GS/s - i.e., without high speed ADCs. Further, it is simple and can be implemented on commodity low-power radios. Our approach builds on recent advances in the area of sparse Fourier transforms, which show that it is possible to reconstruct a sparse signal without sampling it at the Nyquist rate. To demonstrate our design, we implement it using 3 software radios, each sampling the spectrum at 50 MS/s, producing a device that captures 0.9 GHz - i.e., 6× larger digital bandwidth than the three software radios combined. Finally, an extension of BigBand can perform GHz spectrum sensing even in scenarios where the spectrum is not sparse.

Original languageEnglish (US)
Title of host publicationIEEE INFOCOM 2014 - IEEE Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2256-2264
Number of pages9
ISBN (Print)9781479933600
DOIs
StatePublished - Jan 1 2014
Externally publishedYes
Event33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014 - Toronto, ON, Canada
Duration: Apr 27 2014May 2 2014

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Other

Other33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014
Country/TerritoryCanada
CityToronto, ON
Period4/27/145/2/14

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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