Research Article
HOS-based mode classification for infomobility framework
@INPROCEEDINGS{10.1145/1577382.1577388, author={Andrea F. Cattoni and Marina Ottonello and Mirco Raffetto and Carlo S. Regazzoni}, title={HOS-based mode classification for infomobility framework}, proceedings={1st International ICST Workshop on Cognitive Wireless Networks}, publisher={ACM}, proceedings_a={CWNETS}, year={2007}, month={8}, keywords={Cognitive Radio SVM Mode Identification}, doi={10.1145/1577382.1577388} }- Andrea F. Cattoni
Marina Ottonello
Mirco Raffetto
Carlo S. Regazzoni
Year: 2007
HOS-based mode classification for infomobility framework
CWNETS
ACM
DOI: 10.1145/1577382.1577388
Abstract
The growing number of new emerging wireless standards is creating regulatory problems in allocating the unlicensed frequencies. A possible solution for increasing the frequency reusage within the framework of info-mobility cellular systems is the joint exploitation of Smart Antennas and Cognitive Radio. Inside this framework a key-role is played by Mode Identification and Spectrum monitoring algorithms, useful to provide awareness about the channel conditions. In the paper a Mode Identification algorithm, based on the extraction of higher order statistics from frequency distribution of the involved communication modalities and multiple support vector machine classifiers, for a Cognitive Base Transceiver Station is presented. Simulated results, obtained in a simplified framework, will prove the effectiveness of the proposed approach.
