Land Mobile Propagation Fade Duration Modelling by Markov Chains

L. Csurgai-Horváth, J. Bitó
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引用次数: 4

Abstract

Fade duration is one of the most important dynamic aspects of path attenuation that corresponds to the time length during which a fixed threshold is exceeded by path attenuation. Precise estimation of the fade duration parameter is essential to be taken into account in wireless communication system design for several reasons like calculating the system outage or unavailability period, sharing the system resource during the events, apply fade mitigation techniques, select the right coding scheme etc. In this paper we are presenting a digital model with N-state partitioned Markov chain for the statistical prediction of the fade duration at different attenuation thresholds. The parameter set of the digital model has been derived from the fade duration statistics of a land mobile satellite link measurement at 1.54 GHz. The parameterizations of this model includes beside the fade events also the interfade periods, therefore leads to a more precise fade duration model and provide the possibility of the implementation of joint fade-interfade duration modelling. The threshold dependence of the Markov chain's stochastic matrix elements are determined by an empirical equation
基于马尔可夫链的陆地移动传播衰落持续时间建模
衰减持续时间是路径衰减最重要的动态方面之一,它对应于路径衰减超过固定阈值的时间长度。在无线通信系统设计中,考虑到系统中断或不可用时间的计算、事件期间系统资源的共享、衰落缓解技术的应用、正确编码方案的选择等问题,需要精确估计衰落持续时间参数。在本文中,我们提出了一个具有n状态划分马尔可夫链的数字模型,用于统计预测不同衰减阈值下的衰落持续时间。数字模型的参数集是从1.54 GHz的陆地移动卫星链路测量的衰落时长的统计数据中导出的。该模型的参数化不仅包括渐变事件,还包括渐变周期,因此可以得到更精确的渐变持续时间模型,并为实现联合渐变-干涉持续时间建模提供了可能性。马尔可夫链随机矩阵元素的阈值依赖关系由经验方程确定
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