QoS-driven pricing policy for cognitive radio networks

Year 2017, , 637 - 642, 01.08.2017

Tuğrul Çavdar , Zhaleh Sadreddini

https://doi.org/10.16984/saufenbilder.276721

Abstract

Recently, a large amount of
spectrum and bandwidth are demanded by mobile network operators (MNOs) in order
to obtain the high data rates quality of service (QoS). For optimal spectrum
utilization for better efficiency, MNO should handle unused spectrums through a
convenient spectrum management. Significantly, MNOs should trade-off among the
proposed QoS, service pricing and secondary users’ (SUs) satisfaction. In this
study, adaptive spectrum management based on the requesting SUs’ (RSUs) QoS
requirement is proposed in cognitive radio network (CRN). QoS-driven pricing
policy is developed so that MNO charges RSUs fairly while improving spectrum
utilization and network revenue (NR) efficiency in the long term. Simulation
results illustrate the RSUs charging strategy based on dynamic switch system in
off-peak and peak hours.

Keywords

Cognitive Radio Networks, Spectrum Management, Pricing Policy

Bilişsel radyo ağlar için servis kalitesini esas alan fiyat politikası

Abstract

Son zamanlarda, gezgin ağ
operatörleri (MNO), yüksek veri hızı ve servis kalitesi (QoS) sağlamak için
yüksek miktarda spektrum ve bantgenişliğine ihtiyaç duymaktadırlar. Spektrumun
daha etkin ve optimum kullanımı için MNO, uygun bir spektrum yönetimi üzerinden
kullanılmayan bantları sevk ve idare eder. MNO, önerilen servis kalitesi,
servis fiyatı ve ikincil kullanıcıların memnuniyeti arasında bir denge kurması
çok önemlidir. Bu çalışmada, bilişsel radyo ağlar için, spektrum isteğinde
bulunan ikincil kullanıcıların (RSU) servis kalitesine dayalı olan uyarlanır
bir servis yönetimi önerilmektedir. MNO, uzun vadede kendi ağ gelirini ve
spektrum kullanımını iyileştirirken RSUlar arasında da spektrum kullanımına
bağlı olarak adil bir ücretlendirme yapmasını sağlayan QoS-esas alan bir fiyat
politikası geliştirilmiştir. Yoğun ve yoğun olmayan saatlerde dinamik
anahtarlama sistemine dayalı RSU ücretlendirme stratejilerinin benzetim sonuçları
verilmiştir.

Keywords

Bilişsel Radyo Ağlar, Spektrum Yönetimi, Ücretlendirme Politikası

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