{"title":"Accurate Stochastic Geometry Modeling and Analysis of mmWave Cellular Networks","authors":"Wei Lu, M. Renzo","doi":"10.1109/ICUWB.2015.7324419","DOIUrl":null,"url":null,"abstract":"By relying on a stochastic geometry abstraction modeling for the locations of the base stations and by considering an accurate channel model based on measurements, the author of [1] has recently proposed a tractable mathematical framework for evaluating coverage and rate of millimeter wave cellular networks. The approach proposed in [1] however, relies on a noise-limited approximation for millimeter wave cellular networks operation, which may not hold for all transmission parameters, especially for sub-gigahertz transmission bandwidths and for ultra-dense network deployments. In the present paper, the mathematical framework introduced in \\cite{MDR_mmWave} is generalized by proposing an approach that accounts for the other-cell interference and, thus, is applicable to any system setups. The accuracy of the proposed approach is validated with the aid of Monte Carlo simulations and a good accuracy is obtained, even for very dense cellular network deployments.","PeriodicalId":339208,"journal":{"name":"2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUWB.2015.7324419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
By relying on a stochastic geometry abstraction modeling for the locations of the base stations and by considering an accurate channel model based on measurements, the author of [1] has recently proposed a tractable mathematical framework for evaluating coverage and rate of millimeter wave cellular networks. The approach proposed in [1] however, relies on a noise-limited approximation for millimeter wave cellular networks operation, which may not hold for all transmission parameters, especially for sub-gigahertz transmission bandwidths and for ultra-dense network deployments. In the present paper, the mathematical framework introduced in \cite{MDR_mmWave} is generalized by proposing an approach that accounts for the other-cell interference and, thus, is applicable to any system setups. The accuracy of the proposed approach is validated with the aid of Monte Carlo simulations and a good accuracy is obtained, even for very dense cellular network deployments.