Sparsity-aware cooperative cognitive radio sensing using channel gain maps

Seung Jun Kim, Emiliano Dall'anese, Georgios B Giannakis

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

5 Scopus citations

Abstract

The cooperative cognitive radio (CR) sensing problem is considered, where a number of CRs collaboratively detect the presence of an unknown number of primary users (PUs) in the geographical area where the CR network is operating. A novel concept of channel gain maps is introduced to model and dynamically track the spatio-temporal evolution of the propagation environment. The channel gain map estimates are then exploited to perform dynamic cooperative sensing of timevarying PU activities based on a sparse regression formulation. A distributed algorithm is proposed to reduce the messagepassing overhead of the centralized counterpart for solving the ℓ1- penalized weighted least-squares problem.

Original languageEnglish (US)
Title of host publicationConference Record - 43rd Asilomar Conference on Signals, Systems and Computers
Pages518-522
Number of pages5
DOIs
StatePublished - Dec 1 2009
Event43rd Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 1 2009Nov 4 2009

Publication series

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

Other

Other43rd Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/1/0911/4/09

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