Loading [a11y]/accessibility-menu.js
Neural Networks Mode Classification based on Frequency Distribution Features | IEEE Conference Publication | IEEE Xplore
Scheduled Maintenance: On Monday, 27 January, the IEEE Xplore Author Profile management portal will undergo scheduled maintenance from 9:00-11:00 AM ET (1400-1600 UTC). During this time, access to the portal will be unavailable. We apologize for any inconvenience.

Neural Networks Mode Classification based on Frequency Distribution Features


Abstract:

The growing number of new emerging wireless standards is creating regulatory problems in allocating the unlicensed frequencies. A possible solution for increasing the fre...Show More

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.
Date of Conference: 01-03 August 2007
Date Added to IEEE Xplore: 24 June 2008
ISBN Information:

ISSN Information:

Conference Location: Orlando, FL, USA

References

References is not available for this document.