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.
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Titolo: | Neural networks mode classification based on frequency distribution features |
Autori: | |
Data di pubblicazione: | 2007 |
Handle: | http://hdl.handle.net/11567/253099 |
ISBN: | 9781424408146 |
Appare nelle tipologie: | 04.01 - Contributo in atti di convegno |