{"title":"基于PSO算法的LTE - SON系统在线传播模型校正","authors":"Lianfeng Huang, Xiaoxin Chen, Zhibin Gao, H. Cai","doi":"10.1109/ICASID.2012.6325345","DOIUrl":null,"url":null,"abstract":"Reliable simulation of radio environment and coverage prediction for wireless network planning could be obtained if precise propagation model is adopted. As propagation model is not generally applicable to the specific environment and the efficiency and accuracy of propagation model correction using continuous wave test is too low, an online propagation model correction method based on terminal (UE) measurement information is put forward in this paper, to apply the correction results for network planning and optimization. This method is based on SPM model and particle swarm optimization (PSO) algorithm. The deviation between UE test data and correction results is calculated, and the online correction efficiency is analyzed to show the performance of the proposed method.","PeriodicalId":408223,"journal":{"name":"Anti-counterfeiting, Security, and Identification","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Online propagation model correction based on PSO algorithmin LTE SON system\",\"authors\":\"Lianfeng Huang, Xiaoxin Chen, Zhibin Gao, H. Cai\",\"doi\":\"10.1109/ICASID.2012.6325345\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reliable simulation of radio environment and coverage prediction for wireless network planning could be obtained if precise propagation model is adopted. As propagation model is not generally applicable to the specific environment and the efficiency and accuracy of propagation model correction using continuous wave test is too low, an online propagation model correction method based on terminal (UE) measurement information is put forward in this paper, to apply the correction results for network planning and optimization. This method is based on SPM model and particle swarm optimization (PSO) algorithm. The deviation between UE test data and correction results is calculated, and the online correction efficiency is analyzed to show the performance of the proposed method.\",\"PeriodicalId\":408223,\"journal\":{\"name\":\"Anti-counterfeiting, Security, and Identification\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anti-counterfeiting, Security, and Identification\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASID.2012.6325345\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anti-counterfeiting, Security, and Identification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASID.2012.6325345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Online propagation model correction based on PSO algorithmin LTE SON system
Reliable simulation of radio environment and coverage prediction for wireless network planning could be obtained if precise propagation model is adopted. As propagation model is not generally applicable to the specific environment and the efficiency and accuracy of propagation model correction using continuous wave test is too low, an online propagation model correction method based on terminal (UE) measurement information is put forward in this paper, to apply the correction results for network planning and optimization. This method is based on SPM model and particle swarm optimization (PSO) algorithm. The deviation between UE test data and correction results is calculated, and the online correction efficiency is analyzed to show the performance of the proposed method.