@conference {810,
title = {Spectrum Cartography using quantized observations},
booktitle = {IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP)},
year = {2015},
month = {04/2015},
publisher = {IEEE},
organization = {IEEE},
address = {Brisbane, Australia},
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.
},
keywords = {cognitive radio, compass, compressed sensing, spectrum sensing},
author = {Daniel Romero and Seung-Jun Kim and R. L{\'o}pez-Valcarce and Georgios Giannakis}
}