Research Article
Open Access
Bilişsel Radyo Ağlarında Spektrum Algılama için Çevrimiçi Öğrenme Algoritmasına Dayalı Optimum Eşik Modeli
1Cumhuriyet University
2Erciyes University
✉ Corresponding author: Kenan Koçkaya · kkockaya@cumhuriyet.edu.tr
Proceedings Ist International Symposium on Innovative Approaches in Scientific Studies
Volume 2 Pages 434–439 Year 2018
References
- FCC, Federal Communications Commission Spectrum Policy Task Force, Report of the Spectrum Efficiency Working Group, (Teknik Rapor), USA, 2002.
- Tuna, E. ve Karagöz, M. “Gelecek Nesil Ağlar İçin Spektrum Tahsisinde Yeni Bir Yaklaşım: Bilişsel Radyo”, International Journal of Engineering Research and Development, Vol. 4, No.1, pp. 25-31. 2012.
- Mitola, J. ve Maguire, G. Q. “Cognitive Radio: Making Software Radios More Personal”, IEEE Personal Communications Magazine, Vol. 6, No. 4, pp. 13-18. 1999..
- Mitola, J. “Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio”, Ph. D. Dissertation, KTH Royal Institute of Technology, Stockholm, Sweden. 2000.
- Bektaş, C. ve Akan, A. “Enerji Tabanlı Spektrum Algılamada Dalgacık Dönüşümü Yaklaşımı”, XX. Signal Processing and Communications Applications Conference, 18-20 Nisan, Muğla, pp. 1-4. 2012.
- Haykin, S. “Cognitive Radio: Brain Empowered Wireless Communications”, IEEE Journal on Selected Areas in Communications, Vol. 23, No.2, pp. 201–220. 2005.
- Yücek, T. ve Arslan, H. “A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications”, IEEE Communications Surveys & Tutorials, Vol. 11, No.1, pp. 116-130. 2009.
- Bagwari, A. ve Tomar, G. S. “Adaptive Double-Threshold Based Energy Detector for Spectrum Sensing in Cognitive Radio Networks”, International Journal of Electronics Letters, Vol. 1, pp.24-32. 2013.
- Görçin, A., Qaraqe K.A., Celebi H., Arslan H., "An Adaptive Threshold Method for Spectrum Sensing in Multi-channel Cognitive Radio Networks", ICT 2010: 2010 17th International Conference on Telecommunications, Doha, pp.425-429. 2010
- Ajadi, W. O., Sani, S. M., Tekanyi, A. M. S., “Estimation of an Improved Spectrum Sensing Threshold for Cognitive Radio using Smoothed Pseudo Wigner-Ville Distribution” International Journal of Computer Applications (0975 – 8887), Vol. 168, No.12. 2017.
- Pappu K. V., Sanjay K. S., Priyanka J., “Performance Evolution of ED-Based Spectrum Sensing in CR over Nakagami-m/Shadowed Fading channel with MRC Reception” AEU - International Journal of Electronics and Communications, Vol. 83, pp.512-518. 2018.
- Tallataf R. , Adnan R. , Ahmad N. A., “Reliability Factors Based Fuzzy Logic Scheme for Spectrum Sensing”, World Academy of Science, Engineering and Technology International Journal of Information and Communication Engineering Vol.12, No.2, 2018.
- Ranjeet, M., Nallagonda, S., ve Anuradha, S., “Optimization Analysis of Improved Energy Detection based Cooperative Spectrum Sensing Network in Nakagami-m and Weibull Fading Channels”, Journal of Engineering Science and Technology Review, Vol.10, No.2, pp.114-117, 2017.
- Yongwei, Z., Pin, W.,Shunchao, Z., ve Yonghua, W., “A Spectrum Sensing Method Based on Signal Feature and Clustering Algorithm in Cognitive Wireless Multimedia Sensor Networks”, Hindawi Advances in Moltimedia, 2018.
- Xuping, Z., ve Jianguo, P., “Energy-Detection Based spectrum Sensing for Cognitive Radio”, IET Conference on Wireless, Mobile and Sensor Networks, Shanghai, December 12-14, pp.944-977, 2007.
- Lee, Y.H. D.C.O. a. "Energy Detection Based Spectrum Sensing for Sensing Error Minimization in Cognitive Radio Networks", International Journal of Communication Networks and Information Security (IJCNIS), pp.1-5, 2009.
- H. Urkowitz, "Energy detection of unknown deterministic signals",Proceedings of the IEEE, pp. 523-531, 1967.
- Raman,D. Singh, N.P. “Improved Threshold Scheme for Energy Detection In Cognitive Radio Under Low SNR”. Association of Computer Electronics and Electrical Engineers, pp.251-256, 2013.