{"title":"Agglomerative Group Scheduling for MmWave Massive MIMO under Hybrid Beamforming Architecture","authors":"Huazheng Xu, Tian Zhao, Shibing Zhu, Denglong Lv, Jiang Zhao","doi":"10.1109/ICCT.2018.8600015","DOIUrl":null,"url":null,"abstract":"Millimeter-wave communication and Massive MIMO are key candidate technologies for 5G and hybrid beamforming is a promising solution to get better trade-off between system performance and hardware complexity. User selection and analog beam selection are two key problems in multi-user Millimeter-wave systems. We focus on the principle of orthogonality and energy maximization, a group-based user scheduling scheme is proposed with agglomerative clustering and beam steering beam selection. Numerical results show that agglomerative grouping scheduling can achieve considerable sum rates with affordable computation complexity.","PeriodicalId":244952,"journal":{"name":"2018 IEEE 18th International Conference on Communication Technology (ICCT)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 18th International Conference on Communication Technology (ICCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCT.2018.8600015","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
Millimeter-wave communication and Massive MIMO are key candidate technologies for 5G and hybrid beamforming is a promising solution to get better trade-off between system performance and hardware complexity. User selection and analog beam selection are two key problems in multi-user Millimeter-wave systems. We focus on the principle of orthogonality and energy maximization, a group-based user scheduling scheme is proposed with agglomerative clustering and beam steering beam selection. Numerical results show that agglomerative grouping scheduling can achieve considerable sum rates with affordable computation complexity.