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首页> 外文会议>2010 IEEE Global Telecommunications Conference >Modelling and Analysis of Dynamic Spectrum Access in Cognitive Radio Networks with Self-Similar Traffic
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Modelling and Analysis of Dynamic Spectrum Access in Cognitive Radio Networks with Self-Similar Traffic

机译：自相似业务的认知无线电网络中动态频谱接入的建模与分析

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摘要

The growing proliferation of wireless devices in contemporary wireless networks requires more spectrum usage. As a consequence, spectrum bands are pressingly getting congested. However, a number of frequency bands licensed to operators are under utilized for transmission. Cognitive Radio (CR), as a promising technique for improving spectrum utilization, can dynamically allocate spectrum. In this paper, we investigate the performance of a CR network composed of a primary/licensed user and a number of secondary/unlicensed users, which are subject to self-similar traffic flows and contend for a unique channel. An analytical model is developed to isolate the primary and secondary users from the original networks. Further, we address the queueing performance of individual secondary users by employing a decomposition approach. The comparison between analytical and simulation results validates the accuracy of the developed model.
机译：无线设备在当代无线网络中的日益增长要求更多的频谱使用。结果，频谱带紧迫地变得拥挤。但是，正在使用许可给运营商的多个频带进行传输。认知无线电（CR）作为提高频谱利用率的一种有前途的技术，可以动态分配频谱。在本文中，我们研究了由主要/许可用户和许多次要/非许可用户组成的CR网络的性能，这些网络受到自相似流量的影响，并争夺唯一的信道。开发了一种分析模型以将主要和次要用户与原始网络隔离。此外，我们通过采用分解方法来解决各个二级用户的排队性能。分析结果与仿真结果之间的比较验证了所开发模型的准确性。

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