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作 者:周莹莹[1] 曹静云 ZHOU Yingying;CAO Jingyun(Louhe Vocational Technology College,Luohe 462000,China)
出 处:《通信电源技术》2024年第12期221-223,共3页Telecom Power Technology
摘 要:文章主要探讨Monte Carlo方法在移动通信可靠性分析中的应用,并引入重要抽样技术对Monte Carlo方法进行优化。首先,文章介绍Monte Carlo方法的基本原理及其在移动通信可靠性分析中的应用。其次,引入重要抽样技术对该方法进行优化。最后,利用优化网络工程工具(Optimized Network Engineering Tools,OPNET)模拟平台构建相应的移动通信网络模型,并对比Monte Carlo方法和本文研究的优化方法在不同样本数量下的性能差异。结果表明,重要抽样技术的引入显著提高了Monte Carlo方法在移动通信可靠性分析中的准确性和效率,减少了方差,验证了该方法在移动通信可靠性分析中的有效性和实用性。The article mainly explores the application of Monte Carlo method in mobile communication reliability analysis,and optimizes the Monte Carlo method by introducing importance sampling technology.Firstly,the article introduces the basic principle of Monte Carlo method and its application in mobile communication reliability analysis.Secondly,the importance sampling technique was introduced to optimize the method.Finally,a corresponding mobile communication network model was constructed using the Optimized Network Engineering Tools(OPNET)simulation platform,and the performance differences between the Monte Carlo method and the optimization method studied in this paper were compared under different sample sizes.The results show that the introduction of importance sampling technique significantly improves the accuracy and efficiency of Monte Carlo method in mobile communication reliability analysis,reduces variance,and verifies the effectiveness and practicality of this method in mobile communication reliability analysis.
关 键 词:移动通信 Monte Carlo方法 可靠性分析 优化网络工程工具(OPNET)
分 类 号:TN929.5[电子电信—通信与信息系统] TP311.13[电子电信—信息与通信工程]
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