Cooperative Spectrum Sensing Based on Generalized Likelihood Ratio Test for Cognitive Radio Channels with Unknown Primary User’s Power and Colored Noise

Title:Cooperative Spectrum Sensing Based on Generalized Likelihood Ratio Test for Cognitive Radio Channels with Unknown Primary User’s Power and Colored Noise

Volume: 8 Issue: 3

Author(s): Shahriar Shirvani Moghaddam*Ameneh Habibzadeh

Affiliation:

• Digital Communications Signal Processing (DCSP) Research Lab., Faculty of Electrical Engineering, Shahid Rajaee Teacher Training University (SRTTU), 1678815811, Lavizan, Tehran,Iran

Keywords: Cognitive radio, colored noise, cooperative, GLRT, primary user, secondary user, spectrum sensing.

Abstract: Background & Objective: This paper proposes a modified eigenvalue-based Generalized Likelihood Ratio Test (GLRT). The proposed model is appropriate for cognitive wireless radio system under colored noise and unknown primary user's power. Herein, we introduce an optimization problem, which maximizes the detection probability under the constraints of false alarm, sensing time, the weighting of eigenvalues, and Energy Efficiency (EE). In addition, we improve the detection probability by achieving the proper number of cooperative secondary users using the power method.

Conclusion: Simulation results show that the computational complexity of the proposed method is lower than that for traditional methods, Energy Detection (ED) and Eigenvalue-Based (EVB).

Cite this article as:

Moghaddam Shirvani Shahriar*, Habibzadeh Ameneh, 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 2018; 8 (3) . https://dx.doi.org/10.2174/2210327908666180730092433