Telecommunication Systems

, Volume 66, Issue 4, pp 689–699 | Cite as

Performance analysis of cognitive radio networks for secondary users with slotted central control

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Abstract

This paper deals with analysis, performance evaluation and optimization of cognitive radio networks with central controller. The main principle of this technology is that secondary users are enabled to make opportunistic use of the spectrum part, which is actually unused by the primary users. The considered network enables heterogeneous slotted structure for the channel, in which the secondary user’s packets are transmitted on a slot basis, while the primary user’s packets are forwarded in super-slots, i.e. in fixed length slot-blocks. This heterogeneous slotted channel structure enables more flexible operation leading to more realistic system model of cognitive radio network. We model the cognitive radio networks by preemptive priority queueing model with two classes of customers. We solve the model by applying Markov chain technique and derive the steady-state distributions of the number of primary user’s packets and secondary user’s packets in the system. We provide the formulas for several performance measures including the interruption rate, loss rate, throughput, and average latency of secondary users. After validating the analysis by simulation the influence of the secondary user’s buffer capacity on various system performance measures is investigated. In the last part of the paper we address the question of optimal design of secondary user’s buffer capacity.

Keywords

Cognitive radio networks Centralized spectrum allocation scheme Secondary users Queueing model Preemptive priority Markov chain Simulation Optimal design 

Notes

Acknowledgements

This work was supported in part by National Natural Science Foundation (No. 61472342), Hebei Province Science Foundation (Nos. F2017203141, F2016501073), China and was supported in part by MEXT, Japan.

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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  1. 1.School of Information Science and EngineeringYanshan UniversityQinhuangdaoChina
  2. 2.Key Laboratory for Computer Virtual Technology and System Integration of Hebei ProvinceYanshan UniversityQinhuangdaoChina
  3. 3.Department of Intelligence and InformaticsKonan UniversityKobeJapan

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