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Neural networks mode classification based on frequency distribution features.
| Content Provider | CiteSeerX |
|---|---|
| Author | Cattoni, Andrea F. Ottonello, Marina Raffetto, Mirco Regazzoni, Carlo S. |
| Abstract | 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. I. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Frequency Distribution Feature Neural Network Mode Classification Cognitive Radio Cognitive Base Transceiver Station Info-mobility Cellular System Smart Antenna Multiple Neural Network Classifier Wireless Standard Frequency Re-usage Joint Exploitation Possible Solution Regulatory Problem Simplified Framework Mode Identification Algorithm Unlicensed Frequency Simulated Result |
| Content Type | Text |
