Zheng-tang Liu, Jing He, Yuanzhi Chen, Jianhe Du, Jiaqi Li
{"title":"Millimeter-Wave Massive MIMO Channel Estimation in Relay Environment","authors":"Zheng-tang Liu, Jing He, Yuanzhi Chen, Jianhe Du, Jiaqi Li","doi":"10.1109/ICICSP50920.2020.9232108","DOIUrl":null,"url":null,"abstract":"In order to solve the problem of millimeter-wave massive MIMO channel estimation in a relay environment, this paper proposes a single-path channel model of a downstream millimeter-wave massive MIMO relay system. After that, based on the Compressive Sensing (CS) algorithm, an adaptive compressed sensing channel estimation scheme is proposed. Simulation experiments prove the applicability of the compressed sensing algorithm under the relay channel model. Finally, this paper compares the adaptive compressed sensing algorithm with the traditional orthogonal matching tracking (OMP) compressed sensing algorithm, and proves that the proposed adaptive compressed sensing algorithm improves the channel estimation accuracy.","PeriodicalId":117760,"journal":{"name":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICSP50920.2020.9232108","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 order to solve the problem of millimeter-wave massive MIMO channel estimation in a relay environment, this paper proposes a single-path channel model of a downstream millimeter-wave massive MIMO relay system. After that, based on the Compressive Sensing (CS) algorithm, an adaptive compressed sensing channel estimation scheme is proposed. Simulation experiments prove the applicability of the compressed sensing algorithm under the relay channel model. Finally, this paper compares the adaptive compressed sensing algorithm with the traditional orthogonal matching tracking (OMP) compressed sensing algorithm, and proves that the proposed adaptive compressed sensing algorithm improves the channel estimation accuracy.