What is it about?

It is focused on a modified eigenvalue-based generalized likelihood ratio test (GLRT) appropriate for cognitive wireless radio system under colored noise and unknown primary user's power.

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Why is it important?

An optimization problem, which maximizes the detection probability under the constraints of false alarm, sensing time, the weighting of eigenvalues, and energy efficiency (EE) is proposed that improves the detection probability by achieving the proper number of cooperative secondary users using the power method.

Perspectives

The computational complexity of the proposed method is lower than that for energy detection (ED) and eigenvalue-based (EVB) methods, that means a low-complex method appropriate for CR-based dense networks.

Dr. Shahriar Shirvani Moghaddam
Shahid Rajaee Teacher Training University

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This page is a summary of: Cooperative Spectrum Sensing Based on Generalized Likelihood Ratio Test for Cognitive Radio Channels with Unknown Primary User’s Power and Colored Noise, International Journal of Sensors Wireless Communications and Control, December 2018, Bentham Science Publishers,
DOI: 10.2174/2210327908666180730092433.
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