Estimation of Primary Channel Gain and Interference Reduction for Spectrum Sharing in Cognitive Radio Networks


Authors : Teenu Paul, Shiji Abhraham.

Volume/Issue : Volume 3 - 2018, Issue 5 - May

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/oaSCyL

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv

To achieve spectrum allocation in cognitive radio grids, channel gain among primary transmitter and receiver is essential for cognitive transmitter. For CT to sense primary signals and to evaluate prime channel gain, new methods such as Maximum Likelihood estimator (ML) as well as Median Based estimator (MB) be proposed. ML principle is adopted to examine received prime signals, thus developed ML estimator. Then Median Based estimator is offered for reducing computational complication of ML estimator, such that CT can calculate interference temperature ofprime system and attain spectrum distribution. Through simulation outcomes, valuation error remains 0.015 in both estimators. To further decreasing unwanted noise, a level based reduction methodbe there used.

Keywords : Cognitive Radio, Channel gain, Maximum likelihood, Median based Estimation error, Interference.

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