{"title":"Coverage analysis in the uplink of mmWave cellular networks","authors":"Oluwakayode Onireti, A. Imran, M. Imran","doi":"10.1109/EuCNC.2017.7980683","DOIUrl":null,"url":null,"abstract":"In this paper, we present an analytical framework to evaluate the coverage in the uplink of millimeter wave (mmWave) cellular networks. By using a distance dependent line-of-sight (LOS) probability function, the location of LOS and non-LOS user equipment (UE) are modeled as two independent non-homogeneous Poisson point processes, with each having different pathloss exponent. The analysis takes account of per UE fractional power control (FPC), which couples the transmission of UE due to location-dependent channel inversion. We consider the following scenarios in our analysis: 1) Pathloss based FPC (PL-FPC) which is performed using the measured pathloss and 2) Distance based FPC (D-FPC) which is performed using the measured distance. Results suggest that D-FPC outperforms the PL-FPC at high SINR. Also, the SINR coverage probability decreases as the cell density becomes greater than a threshold.","PeriodicalId":6626,"journal":{"name":"2017 European Conference on Networks and Communications (EuCNC)","volume":"6 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 European Conference on Networks and Communications (EuCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EuCNC.2017.7980683","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this paper, we present an analytical framework to evaluate the coverage in the uplink of millimeter wave (mmWave) cellular networks. By using a distance dependent line-of-sight (LOS) probability function, the location of LOS and non-LOS user equipment (UE) are modeled as two independent non-homogeneous Poisson point processes, with each having different pathloss exponent. The analysis takes account of per UE fractional power control (FPC), which couples the transmission of UE due to location-dependent channel inversion. We consider the following scenarios in our analysis: 1) Pathloss based FPC (PL-FPC) which is performed using the measured pathloss and 2) Distance based FPC (D-FPC) which is performed using the measured distance. Results suggest that D-FPC outperforms the PL-FPC at high SINR. Also, the SINR coverage probability decreases as the cell density becomes greater than a threshold.