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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1279

Title: Transmission Rate Prediction for Cognitive Radio Using Adaptive Neural Fuzzy Inference System
Authors: Hiremath, Shrishail
Patra, S K
Keywords: Cognitive radio
wireless communication
OFDM
soft computing
ANFIS
Issue Date: 2010
Abstract: 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 dat...
Description: Fifth International Conference on Industrial and Information Systems 2010 - Fifth International Conference on Industrial and Information Systems 2010; held at NIT Surathkal
URI: http://hdl.handle.net/2080/1279
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