Renzhi Yuan, Jianshe Ma, Ping Su, Yuhan Dong, Julian Cheng
{"title":"An Importance Sampling Method for Monte-Carlo Integration Model for Ultraviolet Communication","authors":"Renzhi Yuan, Jianshe Ma, Ping Su, Yuhan Dong, Julian Cheng","doi":"10.1109/COMMNET.2019.8742366","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":274754,"journal":{"name":"2019 International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Advanced Communication Technologies and Networking (CommNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMMNET.2019.8742366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
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.