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Delay performance analysis and access strategy design for a multichannel cognitive radio network

Science Bulletin 2012年第Z2期 3705-3712页

作者： LI Xiao 1,WANG Jun 1*,LI HuSheng 2 & LI ShangQian 1 1 National Key Laboratory of Science and Technology on Communications,University of Electronic Science and Technology,Chengdu 611731,China 2 The Department of Electrical Engineering and Computer Science,the University of Tennessee,Knoxville 37996,USA

For a hierarchical cognitive radio network(CRN),the secondary users(SUs) may access the licensed spectrum opportunistically,whenever it is not occupied by the primary users(PUs).An important issue for this kind of CRN is the achievable qualityof-service(QoS) performance,such as traffic transmission delay,which is critical to the SUs' traffic *** this paper,we focus on the delay performance analysis of the SU system and the design of the corresponding optimal access strategy for the case of SUs sharing multiple licensed *** our analysis,the transmission of PU and SU traffic is modeled as M/G/1 *** merging the PU and SU traffic,we propose the model of a priority virtual queue on the licensed *** on this model,we obtain the expected system delay expression for SU traffic through M/G/1 preemptive repeat priority queuing *** the case of multiple licensed channel access,the access strategy is further investigated with respect to the expected system delay for SU *** minimizing the expected transmission delay,the optimal access strategy is modeled as a nonlinear programming problem,which can be resolved by means of the classic Genetic Algorithm(GA).Numerical results validate our analysis and design of an optimal access ***,by considering the time taken by the GA approach,we can also adopt the inverse proportional access strategy to obtain near-optimal results in practice.

关键词： cognitive radio network preemptive repeat priority queuing nonlinear programming optimal access strategy

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