{"title":"超密集云- ran中动态集群的基站协同","authors":"N. Lee, R. Heath, D. Morales-Jiménez, A. Lozano","doi":"10.1109/GLOCOMW.2013.6825084","DOIUrl":null,"url":null,"abstract":"In this paper, a downlink cellular model based on stochastic geometry is put forth in order to analyze the performance of base station (BS) cooperation with dynamic clustering in highly dense BS deployments. Utilizing the proposed model, a closed-form expression for the complementary cumulative distribution function of the instantaneous signal-to-interference ratio (SIR) is derived in terms of relevant system parameters, chiefly the number of cooperating base stations and the path-loss exponent. From the derived SIR distribution, some of the benefits of cooperation can be characterized. Through simulation, the derived SIR distribution is verified and further compared with the corresponding distribution for a deterministic grid model.","PeriodicalId":174992,"journal":{"name":"2013 IEEE Globecom Workshops (GC Wkshps)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":"{\"title\":\"Base station cooperation with dynamic clustering in super-dense cloud-RAN\",\"authors\":\"N. Lee, R. Heath, D. Morales-Jiménez, A. Lozano\",\"doi\":\"10.1109/GLOCOMW.2013.6825084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a downlink cellular model based on stochastic geometry is put forth in order to analyze the performance of base station (BS) cooperation with dynamic clustering in highly dense BS deployments. Utilizing the proposed model, a closed-form expression for the complementary cumulative distribution function of the instantaneous signal-to-interference ratio (SIR) is derived in terms of relevant system parameters, chiefly the number of cooperating base stations and the path-loss exponent. From the derived SIR distribution, some of the benefits of cooperation can be characterized. Through simulation, the derived SIR distribution is verified and further compared with the corresponding distribution for a deterministic grid model.\",\"PeriodicalId\":174992,\"journal\":{\"name\":\"2013 IEEE Globecom Workshops (GC Wkshps)\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"37\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Globecom Workshops (GC Wkshps)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GLOCOMW.2013.6825084\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Globecom Workshops (GC Wkshps)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOMW.2013.6825084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Base station cooperation with dynamic clustering in super-dense cloud-RAN
In this paper, a downlink cellular model based on stochastic geometry is put forth in order to analyze the performance of base station (BS) cooperation with dynamic clustering in highly dense BS deployments. Utilizing the proposed model, a closed-form expression for the complementary cumulative distribution function of the instantaneous signal-to-interference ratio (SIR) is derived in terms of relevant system parameters, chiefly the number of cooperating base stations and the path-loss exponent. From the derived SIR distribution, some of the benefits of cooperation can be characterized. Through simulation, the derived SIR distribution is verified and further compared with the corresponding distribution for a deterministic grid model.