Spline-based spectrum cartography for cognitive radios

Authors:
Gonzalo Mateos;Juan-Andrés Bazerque;Georgios B. Giannakis
Affiliations:
Dept. of ECE, University of Minnesota, Minneapolis, MN;Dept. of ECE, University of Minnesota, Minneapolis, MN;Dept. of ECE, University of Minnesota, Minneapolis, MN
Venue:
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Year:
2009

Citing 2
Cited 1

Distributed spectrum sensing for cognitive radio networks by exploiting sparsity

IEEE Transactions on Signal Processing
Spatiotemporal Sensing in Cognitive Radio Networks

IEEE Journal on Selected Areas in Communications

Distributed spectrum sensing for cognitive radio networks by exploiting sparsity

IEEE Transactions on Signal Processing

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Abstract

A cooperative approach to the sensing task of wireless cognitive radio (CR) networks is introduced based on a spatial model of the power spectrum density (PSD). The model entails a basis expansion of the PSD in frequency, weighted by unknown spatial functions that are estimated from CR measurements. A novel model estimator is developed using a least-squares (LS) criterion regularized with a smoothing penalty. The estimator yields a finitely-parameterized two-dimensional surface spanned by thin-plate splines, which approximates the distribution of power in space. An online PSD tracker is also developed for slowly time-varying power spectra. Different from existing approaches to interference spectrum cartography, the novel sensing scheme neither requires knowledge of second-order spatial statistics, nor it relies on stationarity assumptions.