TR
EN
Fuzzy Hypothesis Test for Cognitive Radios
Öz
This article presents a statistical approach called hypothesis testing for Cognitive Radio systems. Hyposthesis tests have a wide range of applications from detection theory to radar systems. Hypothesis testing is frequently used in Cognitive Radio systems, which are the solution to the spectrum shortage problem today. Hypothesis testing in Cognitive Radio systems is the basis of spectrum detection. By means of hypothesis testing, spectrum gaps are determined so that spectrum gaps are opened to different users' access. In this study, a fuzzy hypothesis test based spectrum detection method is proposed with the signal detected by Cognitive Radio users. Theoretical bases and simulation results of the proposed spectrum detection model are also given. Simulation studies prove the computational cost advantage and detection performance success of the proposed detection method.
Anahtar Kelimeler
Kaynakça
- Abdalrazik, A., Soliman, H., Abdelkader, M. F., & Abuelfadl, T. M. 2016. Power performance enhancement of underlay spectrum sharing using microstrip patch ESPAR antenna. Advances in Electrical and Computer Engineering, 2016-Septe(1), 61–68. https://doi.org/10.1109/WCNC.2016.7565095
- Akyildiz, I. F., Lo, B. F., & Balakrishnan, R. 2011. Cooperative spectrum sensing in cognitive radio networks: A survey. In Physical Communication. https://doi.org/10.1016/j.phycom.2010.12.003
- Bandari, S. K., Vakamulla, V. M., & Drosopoulos, A. 2018. GFDM/OQAM performance analysis under Nakagami fading channels. Physical Communication, 26, 162–169. https://doi.org/10.1016/J.PHYCOM.2017.12.008
- Bao, Z., Pan, G., & Zhou, W. 2012. Tracy-Widom law for the extreme eigenvalues of sample correlation matrices. Electronic Journal of Probability, 17, 1–32. https://doi.org/10.1214/EJP.v17-1962
- Bazerque, J. A., & Giannakis, G. B. 2010. Distributed spectrum sensing for cognitive radio networks by exploiting sparsity. IEEE Transactions on Signal Processing, 58(3), 1847–1862. https://doi.org/10.1109/TSP.2009.2038417
- Chen, Z., & Zhang, Y. 2018. Cooperative energy detection algorithm based on background noise and direction finding error. AEU - International Journal of Electronics and Communications, 95, 326–341. https://doi.org/10.1016/j.aeue.2018.08.029
- Çiflikli, C., & Ilgin, F. Y. 2018. Covariance Based Spectrum Sensing with Studentized Extreme Eigenvalue. Technical Gazette, 25(6), 100–106.
- Dahlman, E., Parkvall, S., & Skold, J. 2013. 4G: LTE/LTE-Advanced for Mobile Broadband. In 4G: LTE/LTE-Advanced for Mobile Broadband. https://doi.org/10.1016/C2013-0-06829-6
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Yayımlanma Tarihi
31 Mart 2021
Gönderilme Tarihi
9 Mayıs 2020
Kabul Tarihi
2 Ocak 2021
Yayımlandığı Sayı
Yıl 2021 Cilt: 14 Sayı: 1
APA
Ilgın, F. Y. (2021). Fuzzy Hypothesis Test for Cognitive Radios. Erzincan University Journal of Science and Technology, 14(1), 182-188. https://doi.org/10.18185/erzifbed.734998
AMA
1.Ilgın FY. Fuzzy Hypothesis Test for Cognitive Radios. Erzincan University Journal of Science and Technology. 2021;14(1):182-188. doi:10.18185/erzifbed.734998
Chicago
Ilgın, Fatih Yavuz. 2021. “Fuzzy Hypothesis Test for Cognitive Radios”. Erzincan University Journal of Science and Technology 14 (1): 182-88. https://doi.org/10.18185/erzifbed.734998.
EndNote
Ilgın FY (01 Mart 2021) Fuzzy Hypothesis Test for Cognitive Radios. Erzincan University Journal of Science and Technology 14 1 182–188.
IEEE
[1]F. Y. Ilgın, “Fuzzy Hypothesis Test for Cognitive Radios”, Erzincan University Journal of Science and Technology, c. 14, sy 1, ss. 182–188, Mar. 2021, doi: 10.18185/erzifbed.734998.
ISNAD
Ilgın, Fatih Yavuz. “Fuzzy Hypothesis Test for Cognitive Radios”. Erzincan University Journal of Science and Technology 14/1 (01 Mart 2021): 182-188. https://doi.org/10.18185/erzifbed.734998.
JAMA
1.Ilgın FY. Fuzzy Hypothesis Test for Cognitive Radios. Erzincan University Journal of Science and Technology. 2021;14:182–188.
MLA
Ilgın, Fatih Yavuz. “Fuzzy Hypothesis Test for Cognitive Radios”. Erzincan University Journal of Science and Technology, c. 14, sy 1, Mart 2021, ss. 182-8, doi:10.18185/erzifbed.734998.
Vancouver
1.Fatih Yavuz Ilgın. Fuzzy Hypothesis Test for Cognitive Radios. Erzincan University Journal of Science and Technology. 01 Mart 2021;14(1):182-8. doi:10.18185/erzifbed.734998
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https://doi.org/10.64509/jicn.21.50