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http://dx.doi.org/10.12673/jant.2022.26.4.219

Connection Admission Control Using RA Based Dynamic Spectrum Hole Grouping in Multi-classes Cognitive Radio Networks  

Lee, Jin-yi (Department of Electronic Engineering, Chungwoon University)
Publication Information
Journal of Advanced Navigation Technology / v.26, no.4, 2022 , pp. 219-225 More about this Journal
Abstract
In this paper, we propose a CAC exploring a RA based dynamic spectrum hole grouping for secondary users' QoS enhancement in multi-classes cognitive radio networks. The RA based dynamic spectrum hole grouping uses SU multi-classes overlaying spectrum structure suggested here. Multiclass SUs are divided into real and non real, and real SUs have a priority for resource utilization against non real. The amount of resource required by real SUs is supported by Wiener prediction and the dynamic spectrum hole grouping, and that required by non real SU is supported by the remained available amount without prediction. In the simulations, we compare the proposed CAC performances using the dynamic spectrum hole grouping in terms of SU connection's blocking(dropping) rate and resource utilization efficiency according to multi-classes traffic characteristics, and then we show the proposed CAC can guarantee the desired QoS of multi-classes secondary users.
Keywords
Connection admission control; Multi-classes cognitive radio networks; RA Based dynamic spectrum hole grouping; Spectrum overlaying structure for Multi-classes services;
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