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Analysis of wireless optical communications feasibility in presence of clouds using markov chains

机译:使用马尔可夫链分析云中无线光通信的可行性

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Free Space Optical (FSO) communications is a practical solution for creating a three dimensional global broadband communications grid, offering bandwidths far beyond possible in Radio Frequency (RF) range. However, attributes of atmospheric turbulence (scintillation) and obscurants such as clouds impose perennial limitations on availability and reliability of optical links. To design and evaluate optimum transmission techniques that operate under realistic atmospheric conditions, a good understanding of the channel behavior is necessary. In most prior works, Monte-Carlo Ray Tracing (MCRT) algorithm has been used to analyze the channel behavior. This task is quite numerically intensive. The focus of this paper is on investigating the possibility of simplifying this task by a direct extraction of state transition matrices associated with standard Markov modeling from the MCRT computer simulations programs. We show that by tracing a photon¿s trajectory in space via a Markov chain model, the angular distribution can be calculated by simple matrix multiplications. We also demonstrate that the new approach produces results that are close to those obtained by MCRT and other known methods. Furthermore, considering the fact that angular, spatial, and temporal distributions of energy are inter-related, mixing time of Monte-Carlo Markov Chain (MCMC) for different types of aerosols is calculated based on eigen-analysis of the state transition matrix and possibility of communications in scattering media is investigated.
机译:自由空间光(FSO)通信是用于创建三维全球宽带通信网格的实用解决方案,其带宽远远超出了射频(RF)范围。但是,大气湍流(闪烁)和诸如云等遮盖物的属性对光链路的可用性和可靠性造成了长期的限制。为了设计和评估在现实的大气条件下运行的最佳传输技术,必须对通道的行为有充分的了解。在大多数先前的工作中,蒙特卡洛光线追踪(MCRT)算法已用于分析信道行为。这项任务在数字上非常繁琐。本文的重点是研究通过从MCRT计算机仿真程序中直接提取与标准Markov建模相关的状态转移矩阵来简化此任务的可能性。我们显示通过通过马尔可夫链模型在空间中跟踪光子的轨迹,可以通过简单的矩阵乘法来计算角度分布。我们还证明了这种新方法所产生的结果与通过MCRT和其他已知方法获得的结果相近。此外,考虑到能量的角度,空间和时间分布是相互关联的事实,基于状态转换矩阵的特征分析和可能性,计算了不同类型的气溶胶的蒙特卡洛马尔可夫链(MCMC)的混合时间研究了散射介质中的通信。

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