A Fuzzy Logic–Driven Decision Model for Improving Reliability of Spectrum Access in Cognitive Radio Networks

[1] I. F. Akyildiz, W.-Y. Lee, M. C. Vuran, and S. Mohanty, “NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey,” Computer Networks, vol. 50, no. 13, pp. 2127–2159, 2006. [2] H. Urkowitz, “Energy detection of unknown deterministic signals,” Proceedings of the IEEE, vol. 55, no. 4, pp. 523–531, 1967. [3] L. A. Zadeh, “Fuzzy sets,” Information and Control, vol. 8, no. 3, pp. 338–353, 1965. [4] J. Mitola III and G. Q. Maguire Jr., “Cognitive radio: Making software radios more personal,” IEEE Personal Communications, vol. 6, no. 4, pp. 13–18, 1999. [5] T. Yücek and H. Arslan, “A survey of spectrum sensing algorithms for cognitive radio applications,” IEEE Communications Surveys & Tutorials, vol. 11, no. 1, pp. 116–130, 2009. [6] S. Haykin, “Cognitive radio: Brain-empowered wireless communications,” IEEE Journal on Selected Areas in Communications, vol. 23, no. 2, pp. 201–220, 2005. [7] M. U. Muzaffar and R. Sharqi, “A review of spectrum sensing in modern cognitive radio networks,” Telecommunication Systems, vol. 85, pp. 347–363, 2024. [8] K. El Omari, A. Dkiouak, M. Baghouri, and S. Chakkor, “Comparing fuzzy logic methods for performing spectrum sensing in cognitive radio,” IET Conference Proceedings, 2024. [9] K. K. Kishore et al., “Intelligent dynamic spectrum access using fuzzy logic in cognitive radio networks,” Discover Applied Sciences, 2024. [10] R. O. Obinna and C. J. Ezeofor, “Dynamic spectrum allocation in cognitive radio networks for IoT devices using fuzzy logic,” Adv. J. Sci. Eng. Technol., vol. 9, no. 3, pp. 1–14, 2024. [11] B. Mahalakshmi, “Efficient network analysis on fuzzy logic with cognitive radio techniques and spectrum scaling,” IJIRT, vol. 11, 2024. [12] I. E. Ezhilarasi, J. C. Clement, and J. M. Arul, “A survey on cognitive radio network attack mitigation using machine learning and blockchain,” J. Wireless Commun. Netw., 2023. [13] Y. Zhang et al., “Smart sensing enabled dynamic spectrum management for cognitive radio networks,” Frontiers in Computer Science, 2023. [14] J. Raymond et al., “A review of spectrum sensing times in cognitive radio networks,” Adv. Eng. Des. Technol., 2023. [15] M. Shuaibu-Sadiq and F. I. Anyasi, “Analysis of radio frequency spectrum usage using cognitive radio,” J. Electr. Control Technol. Res., 2022. [16] R. Kaur and G. Singh, “Fuzzy logic-based spectrum decision framework for CRNs,” IEEE Access, 2022. [17] Y. Zhang et al., “Machine learning-based spectrum sensing in CRNs,” IEEE Communications Surveys & Tutorials, 2022. [18] S. Ahmed et al., “Hybrid fuzzy-neural approach for spectrum optimization,” IEEE Access, 2023. [19] M. Khan et al., “Adaptive spectrum allocation using AI techniques,” IEEE Trans. Wireless Commun., 2023. [20] H. Li et al., “Deep learning-based spectrum sensing for 5G CRNs,” IEEE Access, 2024. [21] D. Patel and R. Mehta, “Fuzzy logic-based channel selection in CRNs,” International Journal of Communication Systems, 2022.