Bilişsel Radyo Ağlarında Çevrimiçi Öğrenme Tabanlı İşbirlikçi Spektrum Algılama Algoritmasının Sönümlü Kanallardaki Başarımı
Kenan Koçkaya1*, İbrahim Develi2
1Sivas Cumhuriyet Üniversitesi , Sivas, Türkiye
2Erciyes Üniversites, Kayseri, Türkiye
* Corresponding author: kkockaya@cumhuriyet.edu.tr
Presented at the 3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) (ISAS2019-ENS), Ankara, Turkey, Apr 19, 2019
SETSCI Conference Proceedings, 2019, 4, Page (s): 153-157 , https://doi.org/
Published Date: 01 June 2019 | 686 7
Abstract
Spektrum algılamada amaç spektrum boşluklarının doğru ve hızlı bir şekilde algılanmasıdır. Bu nedenle bilişsel radyo ağlarının başarımı büyük ölçüde spektrum algılama işlevine bağlıdır. Bu çalışmada, bilişsel radyo ağlarında spektrum algılma başarımını artırmak için çevrimiçi öğrenme tabanlı işbirlikçi spektrum algılama algoritması önerilmiştir. Önerilen yöntemin işbirlikçi spektrum algılama başarım analizi sönümsüz AWGN kanala ilaveten Rayleigh, Nakagami-m ve Rician sönümlü kanallarında yapılmıştır. Simülasyon çalışmaları sonucunda, bilişsel radyo ağlarında geçmiş verilerden eşik değer ifadesinin optimize edilmesi ve işbirlikçi algılama yaklaşımı ile daha etkin bir algılama yapılabileceği gösterilmiştir.
Keywords - Spektrum algılama, Enerji Tabanlı Algılama, İşbirlikçi Spektrum Algılama, Makine Öğrenme Algoritmaları, Çevrimiçi Öğrenme Algoritması.
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