综合通信和广播网络中的错误建模和吞吐量分析

Long Long, A. Ramdorai, Z. Niu
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引用次数: 2

摘要

本文基于所提出的综合通信广播网络(ICBN)的测试平台,在ICBN系统中进行了现场试验和轨迹采集。利用这些轨迹,构建了五个模型来模拟系统传输流(TS)层的误差。这五种模型包括均匀误差模型、GE模型、高阶马尔可夫模型、基于马尔可夫的轨迹分析(MTA)模型和改进的双态模型。然后,我们使用TS包错误率(PER),错误和无错误长度分布等几个指标来评估这些模型的性能,并得出改进的双状态模型在可接受的复杂度下是最合适的。在此基础上,给出了与系统的子网数据单元(SNDU)大小相关的吞吐量。可以看出,在有了返回信道的情况下,ICBN比广播网络大大提高了吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Error modeling and throughput analysis in integrated communication and broadcast networks
In this paper, based on the testbed of our proposed integrated communication and broadcast networks (ICBN), we have done the field trial and collected traces in the ICBN system. With these traces, five models have been constructed to model the error on the Transport Stream (TS) layer of the system. These five models include uniform error model, GE model, higher order Markov model, Markov-based Trace Analysis (MTA) model and improved two-state model. Then we evaluate the performance of these models using several metrics including TS packet error rate (PER), error and error-free length distributions and conclude that the improved two-state model is most suitable with acceptable complexity. Based on this conclusion, the throughput related to the SubNetwork Data Unit (SNDU) size of our system is given. It can be seen that with the return channel, ICBN greatly improves the throughput compared with broadcast networks.
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