Distributed spectrum sensing for cognitive radios by exploiting sparsity

Juan Andres Bazerque, Georgios B. Giannakis

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

13 Scopus citations

Abstract

A cooperative approach to the sensing task of wireless cognitive radios (CRs) is introduced based on a basis expansion model of the power spectral density (PSD) in space and frequency. Joint estimation of the model parameters enables identification of the (un)used frequency bands at arbitrary locations and thus facilitates spatial frequency reuse. The novel scheme capitalizes on the sparsity introduced by the narrowband nature of transmit-PSDs relative to the broad swaths of usable spectrum and the scarcity of position vectors where active radios are located in space. A basis pursuit scheme is developed to exploit this sparsity in the solution and reveal the unknown positions of transmitting CRs. The resultant algorithm accounts for deterministic pathloss as well as random fading propagation and can be implemented via distributed online iterations which solve quadratic programs locally (one per radio). Simulations corroborate that exploiting sparsity in CR sensing reduces spatial spectrum leakage by 15-20dB relative to least-squares (LS) alternatives.

Original languageEnglish (US)
Title of host publication2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Pages1588-1592
Number of pages5
DOIs
StatePublished - Dec 1 2008
Event2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 - Pacific Grove, CA, United States
Duration: Oct 26 2008Oct 29 2008

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
CountryUnited States
CityPacific Grove, CA
Period10/26/0810/29/08

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