A new deterministic process based generative model for characterizing bursty error sequences

Chengxiang Wang, M. Pätzold
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引用次数: 10

Abstract

Efficient and accurate generative models are of great importance for the design and performance evaluation of wireless communication protocols as well as error control schemes. In this paper, deterministic processes are utilized to derive a new generative model for the simulation of bursty error sequences encountered in digital mobile fading channels. The proposed deterministic process based generative model (DPBGM) is simply a properly parameterized and sampled deterministic process followed by a threshold detector and two parallel mappers. The target error sequence is generated by a computer simulation of a frequency hopping (FH) convolutionally coded Gaussian minimum shift keying (GMSK) transmission system with Rayleigh fading. Simulation results show that this generative model enables us to match very closely any given gap distribution (GD), error-free run distribution (EFRD), error cluster distribution (ECD), error burst distribution (EBD), error-free burst distribution (EFBD), block error probability distribution (BEPD), and bit error correlation function (BECF) of the underlying descriptive model.
一种新的基于确定性过程的突发错误序列生成模型
高效、准确的生成模型对于无线通信协议的设计和性能评估以及差错控制方案具有重要意义。本文利用确定性过程导出了一种新的生成模型,用于模拟数字移动衰落信道中遇到的突发错误序列。本文提出的基于确定性过程的生成模型(DPBGM)是一个适当参数化和采样的确定性过程,然后是一个阈值检测器和两个并行映射器。通过对具有瑞利衰落的跳频(FH)卷积编码高斯最小移位键控(GMSK)传输系统的计算机仿真,生成了目标误差序列。仿真结果表明,该生成模型能够非常接近地匹配底层描述模型的任何给定间隙分布(GD)、无差错运行分布(EFRD)、错误簇分布(ECD)、错误突发分布(EBD)、无差错突发分布(EFBD)、块错误概率分布(BEPD)和误码相关函数(BECF)。
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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