کاهش اثر مخرب کاربران بدرفتار در حسگری همکارانه طیف مبتنی بر یادگیری تقویتی

[1] ‏S. Khamayseh, & A. Halawani, “Cooperative Spectrum Sensing in Cognitive Radio Networks: A Survey on Machine Learning-based Methods,” Journal of Telecommunications and Information Technology, Vol. 82, pp. 1-18, 2020.

[2] P.T. Sivagurunathan, P.  Ramakrishnan, & N. Sathishkumar, “Recent Paradigms for Efficient Spectrum Sensing in Cognitive Radio Networks: Issues and Challenges,” Journal of Physics: Conference Series, Vol. 1717, pp. 12-57, 2021.

[3] F. Benedetto, & G. Giunta, “A theoretical analysis of asymptotical performance of cooperative spectrum sensing in the presence of malicious users,” IEEE Wireless Communications Letters, Vol. 7, pp. 380-383, 2017.

[4] M. Botvinick, S. Ritter, J. Wang, Z. Kurth-Nelson, C. Blundell, & D. Hassabis, “Reinforcement learning, fast and slow,” Trends in cognitive sciences, Vol. 23, pp. 408-422, 2019.

[5] S. Levine, A. Kumar, G. Tucker, & J. Fu, “Offline reinforcement learning: Tutorial, review, and perspectives on open problems,” arXiv preprint arXiv:2005. 01643, 2020.

[6] A. Sharifi, M. Sharifi, and J. Niya, “Secure cooperative spectrum sensing under primary user emulation attack in cognitive radio networks:  Attack-aware threshold selection approach,” International Journal of Electronics and Communications (AEÜ), Vol. 10, pp. 1-10, 2015.

[7] X. Liu, C. Sun, M. Zhou, C. Wu, B. Peng, & P. Li, “Reinforcement learning-based multislot double-threshold spectrum sensing with Bayesian fusion for industrial big spectrum data,” IEEE Transactions on Industrial Informatics, Vol. 17, pp. 3391-3400, 2020.

[8] Y. Zhang, P. Cai, C. Pan, & S. Zhang, “Multi-agent deep reinforcement learning-based cooperative spectrum sensing with upper confidence bound exploration,” IEEE Access, Vol. 7, pp. 118898-118906, 2019.

[9] A. Kumar, N. Gupta, R. Tapwal, & J. Singh, “Trust Aware Scheme based Malicious Nodes Detection under Cooperative Spectrum Sensing for Cognitive Radio 
Networks,” Adjunct Proceedings of the International Conference on Distributed Computing and Networking, Vol. 21, pp. 56-61, 2021.

[10] R. Wan, L. Ding, N. Xiong, W. Shu, & L. Yang, “Dynamic dual threshold cooperative spectrum sensing for cognitive radio under noise power uncertainty,” Human-centric Computing and Information Sciences, Vol. 9, pp. 1-21, 2019.

[11] W. Ning, X. Huang, K. Yang, F. Wu, & S. Leng, “Reinforcement learning enabled cooperative spectrum sensing in cognitive radio networks,” Journal of Communications and Networks, Vol. 22, pp. 12-22, 2020.

[12] M. Rajendran, & M. Duraisamy, “Distributed coalition formation game for enhancing cooperative spectrum sensing in cognitive radio ad hoc networks,” IET Networks, Vol. 9, pp. 12-22, 2020.

[13] E. Ghazizadeh, D. Abbasi‐moghadam, & H. Nezamabadi‐pour, “An enhanced two‐phase SVM algorithm for cooperative spectrum sensing in cognitive radio networks,” International Journal of Communication Systems, Vol. 32, pp. 38-56, 2019.