{"title":"An advanced multi-element microcellular ray tracing model","authors":"K. H. Ng, E. Tameh, A. Nix","doi":"10.1109/ISWCS.2004.1407285","DOIUrl":null,"url":null,"abstract":"In this paper an advanced site specific image-based ray-tracing model is developed that enables multi-element outdoor propagation analysis to be performed in a microcellular environment. Sophisticated optimization techniques such as pre-processing the environment database using object partitioning, visibility determination, diffraction image tree pre-calculation techniques, and parallel processing are used to improve run time efficiency. A comparison of path loss prediction with multi-element site specific measurements shows strong agreement, with a mean error of 3.6 dB and a standard deviation of 3.2 dB. The model is also shown to be capable of performing detailed MIMO analysis.","PeriodicalId":122977,"journal":{"name":"1st International Symposium onWireless Communication Systems, 2004.","volume":"96 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1st International Symposium onWireless Communication Systems, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISWCS.2004.1407285","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
In this paper an advanced site specific image-based ray-tracing model is developed that enables multi-element outdoor propagation analysis to be performed in a microcellular environment. Sophisticated optimization techniques such as pre-processing the environment database using object partitioning, visibility determination, diffraction image tree pre-calculation techniques, and parallel processing are used to improve run time efficiency. A comparison of path loss prediction with multi-element site specific measurements shows strong agreement, with a mean error of 3.6 dB and a standard deviation of 3.2 dB. The model is also shown to be capable of performing detailed MIMO analysis.