Learning and Adaptation in Cognitive Radios Using Neural Networks

The estimation of the communication performance achievable with respect to environmental factors and configuration parameters plays a key role in the optimization process performed by a Cognitive Radio according to the original definition by Mitola [1]. In this paper we propose the use of Multilayer...

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Bibliographic Details
Published in2008 5th IEEE Consumer Communications and Networking Conference pp. 998 - 1003
Main Authors Baldo, N., Zorzi, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE CCP 01.01.2008
Subjects
Chromium
Cognition
Cognitive radio
Environmental factors
Error analysis
Feedforward neural networks
Multi-layer neural network
Neural networks
Phase measurement
Throughput
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Summary:The estimation of the communication performance achievable with respect to environmental factors and configuration parameters plays a key role in the optimization process performed by a Cognitive Radio according to the original definition by Mitola [1]. In this paper we propose the use of Multilayered Feedforward Neural Networks as an effective technique for real-time characterization of the communication performance which is based on measurements carried out by the device and therefore offers some interesting learning capabilities.
ISBN:1424414563
9781424414574
1424414571
9781424414567
ISSN:2331-9852
DOI:10.1109/ccnc08.2007.229