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).
Keywords: Cognitive radio, colored noise, cooperative, GLRT, primary user, secondary user, spectrum sensing.
International Journal of Sensors, Wireless Communications and Control
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).
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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
DOI https://dx.doi.org/10.2174/2210327908666180730092433 |
Print ISSN 2210-3279 |
Publisher Name Bentham Science Publisher |
Online ISSN 2210-3287 |
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