Throughput analysis of different traffic distribution in Cognitive Radio Network

P. Bharathi, K. K. Raj, Hiran Kumar Singh, Dhananjay Kumar
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引用次数: 2

Abstract

A traffic distribution in a wireless network plays a major role in resource allocation. In this paper, we analyze throughput in Cognitive Radio Network (CRN) under two traffic distributions Pareto on-off and Poisson distribution. We consider a CRN where the cell is divided into different concrete circles and sectors. In each segment is analyzed and the channel is allocated accordingly while taking a count of Blocking -dropping probability and false alarm -missed detection probability. The system is simulated in java platform and results shows higher throughput for Poisson distribution.
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认知无线网络中不同业务分布的吞吐量分析
无线网络中的业务分布在资源分配中起着重要的作用。本文分析了认知无线网络(CRN)在两种流量分布下的吞吐量,分别是帕累托开通和泊松分布。我们考虑一个CRN,其中单元被分成不同的具体圆和扇区。在计算丢包概率和误报漏检概率的同时,对每一段进行分析并进行相应的信道分配。在java平台上对该系统进行了仿真,结果表明该系统具有较高的泊松分布吞吐量。
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