International Journal of Electronic Devices and Networking
2024, Vol. 5, Issue 2, Part A
Blind source separation approach for multi-channel jamming suppression in cognitive radio networks using fastica and adaptive filtering techniques
Author(s): Amina Mahamat, Idriss Abakar and Fatime Zakaria
Abstract: Cognitive Radio Networks (CRNs) are vital for efficient spectrum utilization in wireless communication, but they are highly vulnerable to multi-channel jamming attacks, which degrade network performance and reliability. This study aims to develop a hybrid interference mitigation approach by integrating Fast Independent Component Analysis (FastICA) with adaptive filtering techniques to suppress multi-channel jamming and improve signal quality. A simulated CRN environment was established using MATLAB and GNU Radio Companion, with varying levels of interference (low, medium, high, and severe). FastICA was employed to separate desired signals from jamming sources, while an adaptive Least Mean Squares (LMS) filter dynamically minimized residual interference. Key performance metrics, including Signal-to-Interference-plus-Noise Ratio (SINR), Bit Error Rate (BER), and Mean Squared Error (MSE), were evaluated. The proposed approach achieved a significant improvement in SINR across all interference levels (p = 0.000004), with modest enhancements in BER and MSE, though these were not statistically significant. The results indicate that the hybrid approach outperforms conventional methods in interference suppression, particularly in dynamic interference environments. Future research should focus on real-world hardware validation, machine learning-based parameter tuning, and energy efficiency optimization to enhance scalability and adaptability. This study contributes to developing robust and resilient interference mitigation strategies for next-generation wireless communication systems.
DOI: 10.22271/27084477.2024.v5.i2a.67
Pages: 54-59 | Views: 41 | Downloads: 11
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How to cite this article:
Amina Mahamat, Idriss Abakar, Fatime Zakaria. Blind source separation approach for multi-channel jamming suppression in cognitive radio networks using fastica and adaptive filtering techniques. Int J Electron Devices Networking 2024;5(2):54-59. DOI: 10.22271/27084477.2024.v5.i2a.67
