TitleSpectrum Cartography using quantized observations
Publication TypeConference Paper
Year of Publication2015
AuthorsRomero, D, Kim, S-J, López-Valcarce, R, Giannakis, G
Conference NameIEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP)
Date Published04/2015
Conference LocationBrisbane, Australia
Keywordscograd, compass, compressed sensing, spectrum sensing
Abstract This work proposes a spectrum cartography algorithm used for learning the power spectrum distribution over a wide frequency band across a given geographic area. Motivated by low-complexity sensing hardware and stringent communication constraints, compressed and quantized measurements are considered. Setting out from a nonparametric regression framework, it is shown that a sensible approach leads to a support vector machine formulation. The simulated tests verify that accurate spectrum maps can be constructed using a simple sensing architecture with significant savings in the feedback.