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Monte-Carlo Integration Models for Multiple Scattering Based Optical Wireless Communication
IEEE Transactions on Communications ( IF 7.2 ) Pub Date : 2020-01-01 , DOI: 10.1109/tcomm.2019.2952135
Renzhi Yuan , Jianshe Ma , Ping Su , Yuhan Dong , Julian Cheng

Monte-Carlo models are analyzed for multiple scattering channels in optical wireless communications. It is demonstrated that the system impulse response function can be obtained by Monte-Carlo integration model. The convergence performance for the Monte-Carlo integration model is analyzed and improved by introducing different sampling methods. The simulation results show that the gamma function model for channel impulse response function can only be applied to the cases where the common volume between the transmitted light beam and the receiving field-of-view is open. Numerical simulation suggests that for a three-order scattering case, the computation efficiency of the Monte-Carlo integration model based on partial importance sampling is about 12 times of the original Monte-Carlo integration model based on uniform sampling, and 5.6 times of the widely used Monte-Carlo simulation model. The numerical results also show that the Monte-Carlo integration model based on partial importance sampling has higher computation efficiency than the Monte-Carlo simulation model in a higher-order scattering communication scenario.

中文翻译:

基于多散射的光无线通信的蒙特卡罗积分模型

蒙特卡罗模型分析了光无线通信中的多个散射通道。证明了系统脉冲响应函数可以通过蒙特卡罗积分模型获得。通过引入不同的采样方法,对蒙特卡洛积分模型的收敛性能进行了分析和改进。仿真结果表明,信道脉冲响应函数的伽马函数模型仅适用于发射光束与接收视场的公共体积为开放的情况。数值模拟表明,对于三阶散射情况,基于偏重要性采样的蒙特卡洛积分模型的计算效率约为原始基于均匀采样的蒙特卡洛积分模型的12倍,5. 6倍于广泛使用的Monte-Carlo仿真模型。数值结果还表明,在高阶散射通信场景下,基于偏重要性采样的蒙特卡洛积分模型比蒙特卡洛仿真模型具有更高的计算效率。
更新日期:2020-01-01
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