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Volume 5 Issue 7

July 2019

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title

AN ENHANCEMENT IN QOS BY USING MODIFIED SVD ALGORITHM FOR SPECTRUM SENSING IN COGNITIVE RADIO

Author(s):

Sumit Karedia

Keywords:

Spectrum Sensing, SVD, Hankel Matrix, Cognitve Radio, RMT,Probability of detection, probability of false alarm.

Abstract

Wireless communication is backbone of communication in today world, due to rapid development in wireless technology result a huge demand for radio spectrum resources. As we know, radio spectrdum is limited resources which is controlled by and the recognized authorities, such as the federal communications commission (FCC) in the US. Congitive radio is one of best solution which allows a group of users to identify & access to available spectrum resources for their optimum use. In this paper we work on the Singular Value Decomposition algorithm. The proposed detection method overcomes the drawback of other detection method and also, there will not require to know about noise parameter such as noise variance & other. Eigen ratio and Threshold is computed using random matrix theory (RMT) is exploited to formulate the detection method depending on sample covariance matrix of received signal. Simulation Result shows that SVD algorithm using Hankel matrix approach gives 0.067 to 0.103 better performance of detection at low SNR.

Other Details

Paper ID: IJSARTV
Published in: Volume : 5, Issue : 7
Publication Date: 7/1/2019

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