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http://hdl.handle.net/2080/1279
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| 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 |
| Appears in Collections: | Conference Papers
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Size | Format |
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| 1569310943.pdf | | 313Kb | Adobe PDF | View/Open |
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