6533b7d3fe1ef96bd1260aa9
RESEARCH PRODUCT
Experimental validation for spectrum cartography using adaptive multi-kernels
Baltasar Beferull-lozanoMohamed HamidThomas JordbruHenning IdsoeLinga Reddy Cenkeramaddisubject
Computer scienceGaussianCentroid020206 networking & telecommunications02 engineering and technologyFunction (mathematics)Least squaressymbols.namesakeQuadratic equationExpectation–maximization algorithm0202 electrical engineering electronic engineering information engineeringsymbolsRadial basis functionLinear combinationCartographydescription
This paper validates the functionality of an algorithm for spectrum cartography, generating a radio environment map (REM) using adaptive radial basis functions (RBF) based on a limited number of measurements. The power at all locations is estimated as a linear combination of different RBFs without assuming any prior information about either power spectral densities (PSD) of the transmitters or their locations. The RBFs are represented as centroids at optimized locations, using machine learning to jointly optimize their positions, weights and Gaussian decaying parameters. Optimization is performed using expectation maximization with a least squares loss function and a quadratic regularizer. Measurements from 14 receivers, randomly divided into 2 sets, are used for training and validating the algorithm. Estimations are compared to the validation set by means of normalized mean square error (NMSE), and the obtained results verify the functionality of the algorithm.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-12-01 | 2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS) |