Junwei Wang, Xiaoling Hu, Jiangcai Zhu, C. Zhong, Zhaoyang Zhang
{"title":"Hybrid Beamforming for MISO Multicasting with Finite-Resolution Phase Shifters","authors":"Junwei Wang, Xiaoling Hu, Jiangcai Zhu, C. Zhong, Zhaoyang Zhang","doi":"10.1109/WCSP.2019.8928036","DOIUrl":null,"url":null,"abstract":"This work deals with precoder design of a multiple-input single-output multicasting system with hybrid beamforming architecture. The main objective is to maximize the minimum received signal-to-noise ratio of all users taking into account of finite-resolution phase shifters. To address the non-convex nature of the optimization problem, the semi-definite relaxation technique is employed. Together with the alternating optimization approach, several heuristic algorithms are proposed. Numerical results show that the proposed algorithms are effective when compared with existing algorithms.","PeriodicalId":108635,"journal":{"name":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCSP.2019.8928036","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This work deals with precoder design of a multiple-input single-output multicasting system with hybrid beamforming architecture. The main objective is to maximize the minimum received signal-to-noise ratio of all users taking into account of finite-resolution phase shifters. To address the non-convex nature of the optimization problem, the semi-definite relaxation technique is employed. Together with the alternating optimization approach, several heuristic algorithms are proposed. Numerical results show that the proposed algorithms are effective when compared with existing algorithms.