{"title":"Capacity-Aware Hybrid beamforming for Multi-User Massive MIMO","authors":"M. Hefnawi, Esmael Yahya","doi":"10.1109/ICMCS.2018.8525955","DOIUrl":null,"url":null,"abstract":"We propose a capacity-aware hybrid beamforming (CA HBF) to enhance the uplink channel capacity of multi-user massive MIMO (MU-MIMO) system. We assume that the base station (BS) and the mobile users are equipped with hybrid beamforming massive arrays. The analog beamformers of the BS and the mobile users are based on multi-beam selection. Each user perform capacity-aware digital beamforming and the BS performs digital MRC. The capacity-aware scheme is implemented using the free-derivative population-based particle swarm optimization (PSO) algorithms that is well known by its simple/fast hardware implementation. The performance evaluation in term of the ergodic system capacity shows that the proposed CA HBF achieves the same performance as the fully-digital capacity-aware beamforming scheme.","PeriodicalId":272255,"journal":{"name":"2018 6th International Conference on Multimedia Computing and Systems (ICMCS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 6th International Conference on Multimedia Computing and Systems (ICMCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMCS.2018.8525955","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We propose a capacity-aware hybrid beamforming (CA HBF) to enhance the uplink channel capacity of multi-user massive MIMO (MU-MIMO) system. We assume that the base station (BS) and the mobile users are equipped with hybrid beamforming massive arrays. The analog beamformers of the BS and the mobile users are based on multi-beam selection. Each user perform capacity-aware digital beamforming and the BS performs digital MRC. The capacity-aware scheme is implemented using the free-derivative population-based particle swarm optimization (PSO) algorithms that is well known by its simple/fast hardware implementation. The performance evaluation in term of the ergodic system capacity shows that the proposed CA HBF achieves the same performance as the fully-digital capacity-aware beamforming scheme.