{"title":"Uplink Rate Based on Massive MIMO Channel Estimation Approach","authors":"B. Sissokho, J. Cances, A. Kora","doi":"10.1109/ICFSP.2018.8552055","DOIUrl":null,"url":null,"abstract":"Transmitted signal is degraded and problem remains reconstruction of symbols. In massive MIMO systems, channel estimation has been widely discussed. This paper investigated on the inaccuracy of the channel estimation and its effect on the uplink rate. Best solution is to have the most efficient channel estimation method that is not adversely affected by noise, interference and pilot contamination; hence choice of MMSE method compared to others. After channel estimation, the uplink rate is calculated at the receivers with the ZF and MMSE detectors by using training or pilot symbols. We noted that the two detectors converge towards an asymptotic solution which allows the knowledge of the channel. It is shown that the estimation error increases proportionally when the L cells significantly increases. And the higher the pilot power contamination increases respectively, the decrease in dB of the uplink rate is related proportionally to the increase of the channel attenuation.","PeriodicalId":355222,"journal":{"name":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Frontiers of Signal Processing (ICFSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICFSP.2018.8552055","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
Transmitted signal is degraded and problem remains reconstruction of symbols. In massive MIMO systems, channel estimation has been widely discussed. This paper investigated on the inaccuracy of the channel estimation and its effect on the uplink rate. Best solution is to have the most efficient channel estimation method that is not adversely affected by noise, interference and pilot contamination; hence choice of MMSE method compared to others. After channel estimation, the uplink rate is calculated at the receivers with the ZF and MMSE detectors by using training or pilot symbols. We noted that the two detectors converge towards an asymptotic solution which allows the knowledge of the channel. It is shown that the estimation error increases proportionally when the L cells significantly increases. And the higher the pilot power contamination increases respectively, the decrease in dB of the uplink rate is related proportionally to the increase of the channel attenuation.