{"title":"Mean squared error analysis for OFDMA signals under joint Tx/Rx IQ imbalance","authors":"L. Samara, R. Hamila, T. Khattab, Ö. Özdemir","doi":"10.1109/COMMNET.2018.8360250","DOIUrl":null,"url":null,"abstract":"In this paper, a normalized mean squared error (NMSE) expression is derived for an orthogonal frequency division multiple access link under the effects of joint transmitter (Tx) and receiver (Rx) in-phase/quadrature imbalance (IQI). Two special cases of Tx-only and Rx-only IQI are also studied. The considered type of IQI is frequency independent. Additionally, asymptotic analysis under the assumption of high signal-to-noise ratio (SNR) is performed where in some cases, the NMSE metric increases as the SNR increases. To rectify this behavior, we propose a regularization parameter that can be added to the minimum mean square error channel equalizer to force the NMSE metric to converge as the SNR increases.","PeriodicalId":103830,"journal":{"name":"2018 International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Advanced Communication Technologies and Networking (CommNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMMNET.2018.8360250","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, a normalized mean squared error (NMSE) expression is derived for an orthogonal frequency division multiple access link under the effects of joint transmitter (Tx) and receiver (Rx) in-phase/quadrature imbalance (IQI). Two special cases of Tx-only and Rx-only IQI are also studied. The considered type of IQI is frequency independent. Additionally, asymptotic analysis under the assumption of high signal-to-noise ratio (SNR) is performed where in some cases, the NMSE metric increases as the SNR increases. To rectify this behavior, we propose a regularization parameter that can be added to the minimum mean square error channel equalizer to force the NMSE metric to converge as the SNR increases.