References
- Anandakumar, H., & Umamaheswari, K. (2017). Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers. Cluster Computing, 20(2), 1505–1515. https://doi.org/10.1007/s10586-017-0798-3
- Awe, O., Deligiannis, A., & Lambotharan, S. (2018). Spatio-temporal spectrum sensing in cognitive radio networks using beamformer-aided SVM algorithms. IEEE Access, 6(4), 25377–25388. https://doi.org/10.1109/access.2018.2825603
- Aziz, M., Ewees, A., & Hassanien, A. (2017). Whale optimization algorithm and moth-flame optimization for multilevel thresholding image segmentation. Expert Systems With Applications, 83(10), 242–256. https://doi.org/10.1016/j.eswa.2017.04.023
- Banerjee, A., & Maity, S. (2018). On optimal sample checkpoint for energy efficient cooperative spectrum sensing. Digital Signal Processing, 74(3), 56–71. https://doi.org/10.1016/j.dsp.2017.12.003
- Chiwewe, T., & Hancke, G. (2018). Fast convergence cooperative dynamic spectrum access for cognitive radio networks. IEEE Transactions On Industrial Informatics, 14(8), 3386–3394. https://doi.org/10.1109/tii.2017.2783973
- Do, V., & Koo, I. (2018). Learning frameworks for cooperative spectrum sensing and energy-efficient data protection in cognitive radio networks. Applied Sciences, 8(5), 722. https://doi.org/10.3390/app8050722
- Elnahas, O., Elsabrouty, M., Muta, O., & Furukawa, H. (2018). Game theoretic approaches for cooperative spectrum sensing in energy-harvesting cognitive radio networks. IEEE Access, 6(2), 11086–11100. https://doi.org/10.1109/access.2018.2810107
- Kapoor, G., & Rajawat, K. (2015). Outlier-aware cooperative spectrum sensing in cognitive radio networks. Physical Communication, 17(2), 118–127. https://doi.org/10.1016/j.phycom.2015.08.007
- Li, Z., Wu, W., Liu, X., & Qi, P. (2018). Improved cooperative spectrum sensing model based on machine learning for cognitive radio networks. IET Communications, 12(19), 2485–2492. https://doi.org/10.1049/iet-com.2018.5245
- Mirjalili, S., & Lewis, A. (2016). The whale optimization algorithm. Advances In Engineering Software, 95(5), 51–67. https://doi.org/10.1016/j.advengsoft.2016.01.008
- Mughal, B., Hussain, S., & Ghafoor, A. (2015). Cluster-based cooperative subcarrier sensing using antenna diversity-based weighted data fusion. Arabian Journal For Science And Engineering, 41(9), 3425–3439. https://doi.org/10.1007/s13369-015-1973-6
- Mustapha, I., Ali, B., Sali, A., Rasid, M., & Mohamad, H. (2017). An energy efficient reinforcement learning based cooperative channel sensing for cognitive radio sensor networks. Pervasive And Mobile Computing, 35(2), 165–184. https://doi.org/10.1016/j.pmcj.2016.07.007
- Nguyen, D., & Lee, J. (1989). A new LMS-based algorithm for rapid adaptive classification in dynamic environments. Neural Networks, 2(3), 215–228. https://doi.org/10.1016/0893-6080(89)90005-1
- Rauniyar, A., Jang, J., & Shin, S. (2015). Optimal hard decision fusion rule for centralized and decentralized cooperative spectrum sensing in cognitive radio networks. Journal Of Advances In Computer Networks, 3(3), 207–212. https://doi.org/10.7763/jacn.2015.v3.168
- Ren, J., Zhang, Y., Ye, Q., Yang, K., Zhang, K., & Shen, X. (2016). Exploiting secure and energy-efficient collaborative spectrum sensing for cognitive radio sensor networks. IEEE Transactions On Wireless Communications, 15(10), 6813–6827. https://doi.org/10.1109/twc.2016.2591006
- Saeed, N., & Nam, H. (2014). Robust multidimensional scaling for cognitive radio network localization. IEEE Transactions on Vehicular Technology, 64(9), 4056–4062. https://doi.org/10.1109/TVT.2014.2366515
- Saeed, N., & Nam, H. (2017). Cluster based multidimensional scaling for irregular cognitive radio networks localization. IEEE Transactions on Signal Processing, 64(10), 2649–2659. https://doi.org/10.1109/TSP.2016.2531630
- Saeed, N., & Nam, H. (2017). Energy efficient localization algorithm with improved accuracy in cognitive radio networks. IEEE Communications Letters, 21(9), 2017 - 2020. https://ieeexplore.ieee.org/document/7942139
- Saeed, N., Nam, H., Al-Naffouri, T. Y., & Alouini, M. S. (2019). Primary user localization and its error analysis in 5G cognitive radio networks. Sensors, 19(9), 2035. https://doi.org/10.3390/s19092035
- Ye, F., Zhang, X., Li, Y., & Huang, H. (2016). Primary user localization algorithm based on compressive sensing in cognitive radio networks. Algorithms, 9(2), 25. https://doi.org/10.3390/a9020025
- Zheng, S., Lou, C., & Yang, X. (2010). Cooperative spectrum sensing using particle swarm optimisation. Electronics Letters, 46(22), 1525. https://doi.org/10.1049/el.2010.21156.