{"title":"基于C/I比和传输容量的蜂窝无线网络优化","authors":"L. Závodny, S. Hanus","doi":"10.1109/HFPSC.2004.1360354","DOIUrl":null,"url":null,"abstract":"This contribution deals with cellular radio network optimization. It is based on the realized experiment, focused on optimizing the GSM900 network. The bounded area in a rural region with smooth terrain is considered. A dual-slope, two-ray model is used for the radio signal propagation modelling. The assigning of radio channels to base stations and their emitted radio power are optimized. The main contribution of the work lies in detailed analysis of the criterion of optimization. An interesting solution was created by a study of interference analysis and reduction for wireless systems, usable network capacity, and of its overload capacity. The method of genetic algorithms is used for solving this problem. The experiment was carried out in a Matlab environment.","PeriodicalId":405718,"journal":{"name":"High Frequency Postgraduate Student Colloquium, 2004","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Cellular radio network optimization based on the C/I ratio and transmission capacity\",\"authors\":\"L. Závodny, S. Hanus\",\"doi\":\"10.1109/HFPSC.2004.1360354\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This contribution deals with cellular radio network optimization. It is based on the realized experiment, focused on optimizing the GSM900 network. The bounded area in a rural region with smooth terrain is considered. A dual-slope, two-ray model is used for the radio signal propagation modelling. The assigning of radio channels to base stations and their emitted radio power are optimized. The main contribution of the work lies in detailed analysis of the criterion of optimization. An interesting solution was created by a study of interference analysis and reduction for wireless systems, usable network capacity, and of its overload capacity. The method of genetic algorithms is used for solving this problem. The experiment was carried out in a Matlab environment.\",\"PeriodicalId\":405718,\"journal\":{\"name\":\"High Frequency Postgraduate Student Colloquium, 2004\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"High Frequency Postgraduate Student Colloquium, 2004\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HFPSC.2004.1360354\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"High Frequency Postgraduate Student Colloquium, 2004","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HFPSC.2004.1360354","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cellular radio network optimization based on the C/I ratio and transmission capacity
This contribution deals with cellular radio network optimization. It is based on the realized experiment, focused on optimizing the GSM900 network. The bounded area in a rural region with smooth terrain is considered. A dual-slope, two-ray model is used for the radio signal propagation modelling. The assigning of radio channels to base stations and their emitted radio power are optimized. The main contribution of the work lies in detailed analysis of the criterion of optimization. An interesting solution was created by a study of interference analysis and reduction for wireless systems, usable network capacity, and of its overload capacity. The method of genetic algorithms is used for solving this problem. The experiment was carried out in a Matlab environment.
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