紫外通信蒙特卡罗积分模型的重要采样方法

2019 International Conference on Advanced Communication Technologies and Networking (CommNet) Pub Date : 2019-04-01 DOI:10.1109/COMMNET.2019.8742366

Renzhi Yuan, Jianshe Ma, Ping Su, Yuhan Dong, Julian Cheng

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引用次数: 3

摘要

对紫外通信多散射信道的蒙特卡罗积分模型进行了改进。为了提高蒙特卡罗积分模型的收敛速度，引入了重要采样方法。比较了本文提出的基于重要抽样的蒙特卡罗积分模型、基于均匀抽样的原始蒙特卡罗积分模型和广泛使用的蒙特卡罗仿真模型的收敛速度和计算速度。仿真结果表明，该模型的计算效率是原蒙特卡罗积分模型的9.6倍左右，是原蒙特卡罗仿真模型的4.35倍左右。

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An Importance Sampling Method for Monte-Carlo Integration Model for Ultraviolet Communication

This paper improves the Monte-Carlo integration model for multiple scattering channel of ultraviolet communication. An importance sampling method is introduced to improve the convergence speed of the original Monte-Carlo integration model. We compare the convergence speed and calculation speed of the proposed Monte-Carlo integration model based on importance sampling, the original Monte-Carlo integration model based on uniform sampling and a widely used Monte-Carlo simulation model. Simulation results show that the computation efficiency of the proposed model is about 9.6 times of the original Monte-Carlo integration model and is about 4.35 times of the Monte-Carlo simulation model.

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来源期刊

2019 International Conference on Advanced Communication Technologies and Networking (CommNet)

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