{"title":"Research on the Joint Transmitter Beamforming Design for MIMO System with SWIPT","authors":"Yulin Yang, Rui Zhao","doi":"10.1109/ICCCAS.2018.8768957","DOIUrl":null,"url":null,"abstract":"In this paper, we consider joint beamforming optimization for multiple-input multiple-output (MIMO) simultaneous information and power transfer (SWIPT) system. Our aim is to maximize the achievable security rate. However, this optimal problem is non-convex, so we exploit semi-definite relaxation (SDR) and the first-order Taylor approximation to transform the original non-convex problem into a new convex problem. Then the sub-optimal beamforming matrices were obtained by the SCA iterative algorithm and singular value decomposition method. Numerical results have shown the effectiveness of the scheme proposed in this paper.","PeriodicalId":166878,"journal":{"name":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","volume":"266 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCAS.2018.8768957","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
In this paper, we consider joint beamforming optimization for multiple-input multiple-output (MIMO) simultaneous information and power transfer (SWIPT) system. Our aim is to maximize the achievable security rate. However, this optimal problem is non-convex, so we exploit semi-definite relaxation (SDR) and the first-order Taylor approximation to transform the original non-convex problem into a new convex problem. Then the sub-optimal beamforming matrices were obtained by the SCA iterative algorithm and singular value decomposition method. Numerical results have shown the effectiveness of the scheme proposed in this paper.