基于网络演算分析的认知无线网络性能边界

2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content Pub Date : 2010-12-06 DOI:10.1109/ICNIDC.2010.5659456

Yuehong Gao, Yuming Jiang, Tao Lin, Xin Zhang

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引用次数: 8

摘要

本文利用随机网络演算分析了具有两类输入流量的认知无线网络的性能边界。首先，基于系统模型和随机网络演算，得到了主用户和次用户的随机服务曲线;然后，在最小加卷积和独立案例分析两种方法下，导出了主用户和次用户的积压界和延迟界的一般表达式。最后，对数值结果和仿真结果进行了比较和讨论。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Performance bounds for a cognitive radio network with network calculus analysis

In this paper, we use stochastic network calculus to analyze the performance bounds for a cognitive radio network with two classes of input traffic. First, stochastic service curves for primary users and secondary users are obtained based on the system model and stochastic network calculus. Then, we derive the general expressions of backlog and delay bounds for both primary and secondary users under two methods, i.e., min-plus convolution and independent case analysis. Finally, numerical results as well as simulation results are compared and discussed.

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2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content

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