Proposed Approaches for Cooperative Cognitive  Radio

• Published in: Multimedia tools and applications 2022-02, Vol.81 (4), p.5645-5668
• Main Authors: Gomaa, Nahid, Ashiba, H. I., El-Dolil, Sami A., Fouad, Mohamed, Abd El-Samie, Fathi E.
• Format: Article
• Language: English
• Subjects: Codes; Cognitive radio; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Discrete Wavelet Transform; False alarms; Multimedia Information Systems; Random noise; Special Purpose and Application-Based Systems; Wavelet transforms; Wireless communications
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-021-11703-4

This paper in this topic concentrates on an important part is spectrum sensing (SS). It can detect the idle hole in spectrum by detection methods. This paper uses the sensing technique is called energy detector(ED). The ED depends on only the energy of the signal without other needs such as the modulation of signal or pre-knowledge about the signal and this is considered as advantage. This research proposed new two techniques are the additive wavelet transform (AWT) with Homomorphic Way (HW) and Haar Discrete Wavelet Transform (HDWT) approach. We apply these techniques are applied in wide band wireless signal by using the Cognitive Radio (CR) network. Each technique reduces the noise of signal before enter to the detection method ED. The HW is considered new technique in the wireless communication. This study will have these techniques as hybrid with the ED to increase the throughput for the cognitive user with a sufficient protection to the PU transmission. Also, it improves the probability of detection and reduces the probability of false alarm and the probability of error. The cooperative CR is used in this work which more than the non-cooperative cognitive user to detect the holes. The final decision for detection built on four fusion rules are the logic OR, logic AND, MAJORITY and K-Out-Of-M fusion rule. The two proposed are applied techniques on four fusion rule at constant sensing time. Then; study the four metric detection performances for each fusion rule by using the Additive White Gaussian Noise (AWGN) channel. At the end, comparison between two these proposed techniques with each fusion rule. Simulation results prove that the proposed scenario increases the probability of detection in the range of SNR of the PU from −20 to −5 dB using the theses proposed approaches.