Collaborative channel gain map tracking for cognitive radios

Seung Jun Kim, Emiliano Dall'Anese, Georgios B. Giannakis, Silvano Pupolin

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

3 Scopus citations

Abstract

A collaborative algorithm is developed to track the channel gains from arbitrary positions in a geographical area to each node of a cognitive radio network. Spatio-temporal shadow fading effects are characterized using an experimentally verified spatial loss field model. Kriged Kalman filtering (KKF) is then applied to track the time-varying shadowing field. The proposed KKF algorithm consists of a distributed Kalman filter that estimates the spatio-temporal trend field, and a Kriging interpolator which captures the temporally white yet spatially descriptive component at the individual sensors. Numerical tests demonstrate that the collaborative tracking algorithm outperforms a non-collaborative alternative in terms of mean-square error when applied to a cognitive radio sensing task.

Original languageEnglish (US)
Title of host publication2010 2nd International Workshop on Cognitive Information Processing, CIP2010
Pages338-343
Number of pages6
DOIs
StatePublished - Nov 22 2010
Event2010 2nd International Workshop on Cognitive Information Processing, CIP2010 - Elba Island, Italy
Duration: Jun 14 2010Jun 16 2010

Publication series

Name2010 2nd International Workshop on Cognitive Information Processing, CIP2010

Other

Other2010 2nd International Workshop on Cognitive Information Processing, CIP2010
CountryItaly
CityElba Island
Period6/14/106/16/10

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