{"title":"小蜂窝网络切换失效概率建模与分析","authors":"C. Lima, M. Bennis, M. Latva-aho","doi":"10.1109/INFCOMW.2014.6849322","DOIUrl":null,"url":null,"abstract":"Mobility management in small cell networks is of utmost importance, and is currently under study in 3GPP Release-12. In this article, we model and analyze the outbound handover failure probability in small cell networks, in which a given user crosses its serving cell coverage border before his time-to-trigger elapses, without connecting to his target base station. Using tools from stochastic geometry, a closed-form expression of the handover link failure probability is characterized, as a function of shadowed channel fading, hysteresis margin, time-to-trigger, users' velocity and traveled distances. Numerical results show the effectiveness of the proposed analytical model and provide key insights into the problem of mobility management.","PeriodicalId":6468,"journal":{"name":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"11 1","pages":"736-741"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Modeling and analysis of handover failure probability in small cell networks\",\"authors\":\"C. Lima, M. Bennis, M. Latva-aho\",\"doi\":\"10.1109/INFCOMW.2014.6849322\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobility management in small cell networks is of utmost importance, and is currently under study in 3GPP Release-12. In this article, we model and analyze the outbound handover failure probability in small cell networks, in which a given user crosses its serving cell coverage border before his time-to-trigger elapses, without connecting to his target base station. Using tools from stochastic geometry, a closed-form expression of the handover link failure probability is characterized, as a function of shadowed channel fading, hysteresis margin, time-to-trigger, users' velocity and traveled distances. Numerical results show the effectiveness of the proposed analytical model and provide key insights into the problem of mobility management.\",\"PeriodicalId\":6468,\"journal\":{\"name\":\"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)\",\"volume\":\"11 1\",\"pages\":\"736-741\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFCOMW.2014.6849322\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOMW.2014.6849322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling and analysis of handover failure probability in small cell networks
Mobility management in small cell networks is of utmost importance, and is currently under study in 3GPP Release-12. In this article, we model and analyze the outbound handover failure probability in small cell networks, in which a given user crosses its serving cell coverage border before his time-to-trigger elapses, without connecting to his target base station. Using tools from stochastic geometry, a closed-form expression of the handover link failure probability is characterized, as a function of shadowed channel fading, hysteresis margin, time-to-trigger, users' velocity and traveled distances. Numerical results show the effectiveness of the proposed analytical model and provide key insights into the problem of mobility management.