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http://dx.doi.org/10.12673/jant.2016.20.5.440

Adaptive Call Admission Control Based on Spectrum Holes Prediction in Cognitive Radio Networks  

Lee, Jin-yi (Department of Electronic Engineering, Chungwoon University)
Abstract
There is a scheme where secondary users (SU) use predicted spectrum holes for primary users (PU) not to utilize for efficient utilization of the limited spectrum resources in cognitive radio networks. In this paper, we propose an adaptive call admission control framework that minimizes spectrum hopping call dropped probability (SHDP) for satisfying SU quality of service (QoS). The scheme is based on a call admission control (CAC), bandwidth prediction and adaptive bandwidth assignment. The prediction model predicts not only the number of spectrum holes, but requested bandwidth of SU spectrum hopping call, and then the CAC minimizes SHDP via an adaptive bandwidth assignment in resources not being enough for reservation. We bring Wiener prediction model to predict the resources. Simulations are conducted to compare the performance of proposed scheme with an existing, and show its ability of minimizing the SHDP.
Keywords
Cognitive radio; Adaptive call admission control; Spectrum hopping call dropped probability; Bandwidth prediction and adaptive bandwidth assignment;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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