具有二次用户准入控制的认知无线重试排队网络的性能分析

IF 2.3 2区 工程技术 Q3 ENGINEERING, INDUSTRIAL Quality Technology and Quantitative Management Pub Date : 2022-12-05 DOI:10.1080/16843703.2022.2136360
B. Krishna Kumar, R. Navaneetha Krishnan, R. Sankar, R. Rukmani
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引用次数: 1

摘要

摘要:本文设计并分析了一种新的单通道认知无线电重试排队网络,该网络为辅助用户(SUs)部署了等待队列缓冲区。有限源系统生成主用户(pu)。除此之外,对于具有抢占优先级的pu,还考虑了pu的重试/重复尝试的影响。在这种系统中,采用矩阵分析法研究了系统的稳定性条件和系统的联合稳态概率分布。已经确定了几个感兴趣的性能指标,例如阻塞概率、吞吐量、平均等待时间等。利用第一步原理,研究了SUs排队缓冲区到达拥塞水平的第一次通过时间及其相关特性。此外,还评估了这段时间内SUs和pu各种事件的相关系数。最后,广泛的数值结果以图形形式呈现,以供系统洞察。
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Performance analysis of cognitive wireless retrial queueing networks with admission control for secondary users
ABSTRACT This paper designs and analyzes a novel single-channel cognitive radio retrial queueing network wherein a waiting line buffer is deployed for secondary users (SUs). A finite source system generates the primary users (PUs). Apart from these, PUs having preemptive priority over SUs, the effect of retrial/repeated attempts of PUs is taken into consideration. In such a system, the stability condition and the joint steady-state probability distribution of PUs and SUs are studied by using the matrix-analytic method. Several performance metrics of interest, such as blocking probability, throughput, mean waiting time, etc., have been determined. The first-passage time to reach a congestion level in the SUs waiting line buffer and its related characteristics are investigated by employing the first-step principle. In addition, correlation coefficients for various events of SUs and PUs during this period have been assessed. Finally, extensive numerical results are presented graphically for the system insights.
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来源期刊
Quality Technology and Quantitative Management
Quality Technology and Quantitative Management ENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
5.10
自引率
21.40%
发文量
47
审稿时长
>12 weeks
期刊介绍: Quality Technology and Quantitative Management is an international refereed journal publishing original work in quality, reliability, queuing service systems, applied statistics (including methodology, data analysis, simulation), and their applications in business and industrial management. The journal publishes both theoretical and applied research articles using statistical methods or presenting new results, which solve or have the potential to solve real-world management problems.
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