2nd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Neural Networks Mode Classification based on Frequency Distribution Features

  • @INPROCEEDINGS{10.1109/CROWNCOM.2007.4549806,
        author={Andrea F.Cattoni and Marina Ottonello and Mirco Raffetto and Carlo S. Regazzoni},
        title={Neural Networks Mode Classification based on Frequency Distribution Features},
        proceedings={2nd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2008},
        month={6},
        keywords={Chromium  Cognitive radio  FCC  Frequency  Multiaccess communication  Neural networks  Radio spectrum management  Radiofrequency identification  Transceivers  Vehicle dynamics},
        doi={10.1109/CROWNCOM.2007.4549806}
    }
    
  • Andrea F.Cattoni
    Marina Ottonello
    Mirco Raffetto
    Carlo S. Regazzoni
    Year: 2008
    Neural Networks Mode Classification based on Frequency Distribution Features
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2007.4549806
Andrea F.Cattoni1,*, Marina Ottonello1,*, Mirco Raffetto1,*, Carlo S. Regazzoni1,*
  • 1: Department of Biophysical and Electronic Engineering (DIBE) University of Genova Genova, Italy
*Contact email: cattoni@dibe.unige.it, marina@dibe.unige.it, raffetto@dibe.unige.it, carlo@dibe.unige.it

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 re-usage within the framework of info-mobility cellular systems is the joint exploitation of Smart Antennas and Cognitive Radio. In the paper a Mode Identification algorithm, based on frequency distribution features and multiple neural network classifiers, for a Cognitive Base Transceiver Station is presented. Simulated results, obtained in a simplified framework, will prove the effectiveness of the proposed approach.