Autors: Tsvetkov, T. D., Iliev, I. G.
Title: Spectrum Sensing Error Performance in Cognitive Radio using PCA and Different Clustering Methods
Keywords: Channel Identification, Cluster Analysis, Cognitive Radio, Principal Component Analysis, Spectrum Monitoring

Abstract: In this article we examine various clustering methods suitable for signal processing from wide frequency range. Hierarchical and partitioning techniques are considered. The research is made on the basis of cluster size, signal to noise ratio and means square error. Preprocessing using principal component analysis and subsequent clustering can decrease mean square error and increase accuracy. The goal of this article is to improve quality parameters for cognitive radio systems by applying preprocessing and cluster analysis.



    28th National Conference with International Participation (TELECOM), vol. 28, pp. 141-144, 2020, Bulgaria, DOI 10.1109/TELECOM50385.2020.9299547

    Цитирания (Citation/s):
    1. I. Trushev, S. Schati and D. Patil, "On the Minimal Fire Power for Heat Detection", 56th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), pp. 239-242, Bulgaria, 2021, doi: 10.1109/ICEST52640.2021.9483478 - 2021 - в издания, индексирани в Scopus или Web of Science
    2. A. A. Radhi, H. A. R. Akkar, H. N. Abdullah, "Skewness and access kurtosis as denoised mixed features-based K-Medoids for cooperative spectrum sensing", Physical Communication by Elsevier, vol. 54, article no. 101831, 2022, doi: 10.1016/j.phycom.2022.101831 - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus