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A markov-model-based analysis of the optimal TCP/IP packet length for mobile communications

机译:基于Markov模型的移动通信最佳TCP / IP数据包长度分析

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摘要

This report analyzes the optimal TCP/IP packet length for mobile communications, with the aim of achieving high-efficiency TCP/IP transmission. At first, a new two-state Markov model of a packet error is derived on the basis of the statistical model of CIR in the mobile radio environments. Applying the Markov model to both the uplink and the downlink yields a four-state joint Markov model. With Go-Back-N ARQ and Selective Repeat ARQ as a protocol, an analysis based on the joint Markov model clarifies the effect of the packet length on the TCP/IP throughput, which also includes the effect of TCP/IP overhead efficiency, and obtains the optimal TCP/IP packet length to maximize the throughput at an average CIR. Numerical examples of the optimal throughput affected by the overhead, RTT, the numbers of desired and interfering signals, and the maximum Doppler frequency are shown.
机译:本报告分析了移动通信的最佳TCP / IP数据包长度,目的是实现高效的TCP / IP传输。 首先,基于移动无线电环境中CIR的统计模型导出分组错误的新的两州马尔可夫模型。 将Markov模型应用于上行链路和下行链路,产生四个状态联合马尔可夫模型。 通过Ro-NARQ和选择性重复ARQ作为协议,基于联合马尔可夫模型的分析阐明了数据包长度对TCP / IP吞吐量的影响,这还包括TCP / IP开销效率的效果,以及 获得最佳TCP / IP数据包长度,以最大化普通CIC的吞吐量。 示出了受开销,RTT,所需和干扰信号的数量影响的最佳吞吐量的数值示例,以及最大多普勒频率。

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