By Topic

Transmission rate prediction for Cognitive Radio using Adaptive Neural Fuzzy Inference System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hiremath, S. ; Dept. of ECE, NIT Rourkela, Rourkela, India ; Patra, S.K.

Advances in applications demanding high data rate wireless applications and existing wireless system upgrading has lead to scarcity in spectrum. Unlicensed new technologies like Digital video broadcast (DVB), Digital audio broadcast (DAB), internet, WiMAX etc. launched recently are reaching thousands of customers at rapid speed. Most of the primary spectrum is assigned, so it is becoming very difficult to find spectrum for either new services or expanding existing infrastructure. Present government policies do not allow unlicensed access of licensed spectrum, constraining them instead to heavily populated, interference-prone frequency bands. Cognitive Radio systems promise to handle this situation by utilizing intelligent software packages that enrich their transceiver with radio-awareness, adaptability and capability to learn. In this paper, we present the working of the fifth generation intelligent radio that is Cognitive Radio (CR) system which works on predictive data rate and propose ANFIS based learning scheme to introduce intelligence in it. The performance of this is seen to be comparable to neural network based scheme with reduced complexity.

Published in:

Industrial and Information Systems (ICIIS), 2010 International Conference on

Date of Conference:

July 29 2010-Aug. 1 2010