{"title":"城市环境中确定性、经验和物理传播模型的比较","authors":"Eran Greenberg, Edmund Klodzh","doi":"10.1109/COMCAS.2015.7360394","DOIUrl":null,"url":null,"abstract":"The knowledge of wireless propagation channel behavior is essential for coverage determination and for radio network planning in urban environments. In this paper the ability of deterministic, empirical and physical models to predict the received power is investigated. A few test drives were performed to measure the received power in two different urban environments, in order to estimate the prediction ability of urban propagation models. The results show that deterministic ray-tracing, even with site specific digital terrain elevation data and a buildings layer, does not always provide more accurate predictions than empirical and physical models.","PeriodicalId":431569,"journal":{"name":"2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Comparison of deterministic, empirical and physical propagation models in urban environments\",\"authors\":\"Eran Greenberg, Edmund Klodzh\",\"doi\":\"10.1109/COMCAS.2015.7360394\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The knowledge of wireless propagation channel behavior is essential for coverage determination and for radio network planning in urban environments. In this paper the ability of deterministic, empirical and physical models to predict the received power is investigated. A few test drives were performed to measure the received power in two different urban environments, in order to estimate the prediction ability of urban propagation models. The results show that deterministic ray-tracing, even with site specific digital terrain elevation data and a buildings layer, does not always provide more accurate predictions than empirical and physical models.\",\"PeriodicalId\":431569,\"journal\":{\"name\":\"2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMCAS.2015.7360394\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMCAS.2015.7360394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of deterministic, empirical and physical propagation models in urban environments
The knowledge of wireless propagation channel behavior is essential for coverage determination and for radio network planning in urban environments. In this paper the ability of deterministic, empirical and physical models to predict the received power is investigated. A few test drives were performed to measure the received power in two different urban environments, in order to estimate the prediction ability of urban propagation models. The results show that deterministic ray-tracing, even with site specific digital terrain elevation data and a buildings layer, does not always provide more accurate predictions than empirical and physical models.