{"title":"Indoor mmWave Statistical Channel Model at V-Band for 5G Networks","authors":"Muhosina Aktar Mou, M. Mowla","doi":"10.1109/ICAEE48663.2019.8975624","DOIUrl":null,"url":null,"abstract":"The latest wireless communication technology, 5G, is expected to support enormous data rate with minimum end-to-end delay providing better quality of service (QoS) to the increasing demand of mobile data traffic. The abundant unused radio spectrum (10 to 300 GHz) known as millimeter wave (mmWave), can be a better technique to meet up the higher data demands. However, due to very narrow bandwidth and dependency of surrounding atmosphere, channel modeling is still challenging in mmWave communication, especially in indoor environment. In this research, the statistical channel modeling is investigated at unlicensed 60 GHz mmWave band both for Line-of-sight (LOS) and Non-line-of-sight (NLOS) environment using a novel simulator NYUSIM. The novelty of this work is to represent simulation results which analyze 3D channel characteristics with angular spread, various power delay characteristics and path losses using time clustering and side lobe approaches. These investigations can be utilized to demonstrate the potential of 60 GHz mmWave band and its suitability for the design of future 5G indoor networks.","PeriodicalId":138634,"journal":{"name":"2019 5th International Conference on Advances in Electrical Engineering (ICAEE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th International Conference on Advances in Electrical Engineering (ICAEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAEE48663.2019.8975624","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The latest wireless communication technology, 5G, is expected to support enormous data rate with minimum end-to-end delay providing better quality of service (QoS) to the increasing demand of mobile data traffic. The abundant unused radio spectrum (10 to 300 GHz) known as millimeter wave (mmWave), can be a better technique to meet up the higher data demands. However, due to very narrow bandwidth and dependency of surrounding atmosphere, channel modeling is still challenging in mmWave communication, especially in indoor environment. In this research, the statistical channel modeling is investigated at unlicensed 60 GHz mmWave band both for Line-of-sight (LOS) and Non-line-of-sight (NLOS) environment using a novel simulator NYUSIM. The novelty of this work is to represent simulation results which analyze 3D channel characteristics with angular spread, various power delay characteristics and path losses using time clustering and side lobe approaches. These investigations can be utilized to demonstrate the potential of 60 GHz mmWave band and its suitability for the design of future 5G indoor networks.