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

页码：251 / 257

页数：7

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