Neural networks mode classification based on frequency distribution features

被引：6
|
作者：
Cattoni, Andrea F. [1 ]
Ottonello, Marina [1 ]
Raffetto, Mirco [1 ]
Regazzoni, Carlo S. [1 ]
机构：
[1] Univ Genoa, Dept Biophys & Elect Engn DIBE, Genoa, Italy
来源：
2007 2ND INTERNATIONAL CONFERENCE ON COGNITIVE RADIO ORIENTED WIRELESS NETWORKS AND COMMUNICATIONS | 2007年
关键词：
D O I：
10.1109/CROWNCOM.2007.4549806
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：251 / 257
页数：7
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