Performance Analysis and Optimization of an Adaptive Admission Control Scheme in Cognitive Radio Networks

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ID: 13514
2013
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Abstract
In cognitive radio networks, if all the secondary user (SU) packets join the system without any restrictions, the average latency of the SU packets will be greater, especially when the traffic load of the system is higher. For this, we propose an adaptive admission control scheme with a system access probability for the SU packets in this paper. We suppose the system access probability is inversely proportional to the total number of packets in the system and introduce an Adaptive Factor to adjust the system access probability. Accordingly, we build a discrete-time preemptive queueing model with adjustable joining rate. In order to obtain the steady-state distribution of the queueing model exactly, we construct a two-dimensional Markov chain. Moreover, we derive the formulas for the blocking rate, the throughput, and the average latency of the SU packets. Afterwards, we provide numerical results to investigate the influence of the Adaptive Factor on different performance measures. We also give the individually optimal strategy and the socially optimal strategy from the standpoints of the SU packets. Finally, we provide a pricing mechanism to coordinate the two optimal strategies.
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jin2013performancemathematical Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Jin, Shunfu;Zhao, Yuan;Yue, Wuyi;Saffer, Zsolt;
Journal mathematical problems in engineering
Year 2013
DOI
DOI not found
URL
http://dx.doi.org/10.1155/2013/727310
Keywords Keywords not found

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