{"title":"基于移动测量报告流量分布分析的蜂窝网络最优切换边界确定","authors":"C. Chandra, T. Jeanes, W. Leung","doi":"10.1109/VETEC.1997.596369","DOIUrl":null,"url":null,"abstract":"Traffic distributions in a cellular network tend to follow periodic patterns where local congestions occur. By optimizing handover boundaries between neighboring cells, opportunities for load sharing can be exploited to maximize the capacity of the cellular network as a whole. We propose a method for determining optimal handover boundaries by analyzing historical measurement reports data, as an indication of traffic distribution patterns within the network; and modeling the problem as an optimization problem with a set of nonlinear constraints.","PeriodicalId":389634,"journal":{"name":"1997 IEEE 47th Vehicular Technology Conference. Technology in Motion","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Determination of optimal handover boundaries in a cellular network based on traffic distribution analysis of mobile measurement reports\",\"authors\":\"C. Chandra, T. Jeanes, W. Leung\",\"doi\":\"10.1109/VETEC.1997.596369\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traffic distributions in a cellular network tend to follow periodic patterns where local congestions occur. By optimizing handover boundaries between neighboring cells, opportunities for load sharing can be exploited to maximize the capacity of the cellular network as a whole. We propose a method for determining optimal handover boundaries by analyzing historical measurement reports data, as an indication of traffic distribution patterns within the network; and modeling the problem as an optimization problem with a set of nonlinear constraints.\",\"PeriodicalId\":389634,\"journal\":{\"name\":\"1997 IEEE 47th Vehicular Technology Conference. Technology in Motion\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-05-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1997 IEEE 47th Vehicular Technology Conference. Technology in Motion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VETEC.1997.596369\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1997 IEEE 47th Vehicular Technology Conference. Technology in Motion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VETEC.1997.596369","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Determination of optimal handover boundaries in a cellular network based on traffic distribution analysis of mobile measurement reports
Traffic distributions in a cellular network tend to follow periodic patterns where local congestions occur. By optimizing handover boundaries between neighboring cells, opportunities for load sharing can be exploited to maximize the capacity of the cellular network as a whole. We propose a method for determining optimal handover boundaries by analyzing historical measurement reports data, as an indication of traffic distribution patterns within the network; and modeling the problem as an optimization problem with a set of nonlinear constraints.