Xuebing Bai, Meng Zhou, Xu Qiao, Yao Zhang, Longxiang Yang
{"title":"Uplink Performance Analysis of Cell-Free MIMO with Low-Resolution ADCs and ZF Receiver","authors":"Xuebing Bai, Meng Zhou, Xu Qiao, Yao Zhang, Longxiang Yang","doi":"10.23919/ICACT48636.2020.9061355","DOIUrl":null,"url":null,"abstract":"The cell-free massive multiple-input multiple-output (mMIMO) system is considered in this paper. In contrast to previous works, this paper quantizes the pilot and all the users' signals utilizing low-resolution analog-to-digital converters (ADCs) before they are transmitted to the central processing unit (CPU). The additive quantization noise model (AQNM) is used to characterize the quantization distortion. Moreover, a zero-forcing (ZF) receiver is advocated since it is free from inter-user interference. Based on the AQNM and the ZF receiver, a strict closed-form rate expression is derived, which motivates us to analyse the effect of quantization bits on the system performance. Simulation results show that 6-bit is the minimum quantized bit, which can achieve the same rate as a cell-free mMIMO system with perfect ADCs. In addition, 1-bit ADCs and 2-bit ADCs can result in severe rate degradation.","PeriodicalId":296763,"journal":{"name":"2020 22nd International Conference on Advanced Communication Technology (ICACT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 22nd International Conference on Advanced Communication Technology (ICACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICACT48636.2020.9061355","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The cell-free massive multiple-input multiple-output (mMIMO) system is considered in this paper. In contrast to previous works, this paper quantizes the pilot and all the users' signals utilizing low-resolution analog-to-digital converters (ADCs) before they are transmitted to the central processing unit (CPU). The additive quantization noise model (AQNM) is used to characterize the quantization distortion. Moreover, a zero-forcing (ZF) receiver is advocated since it is free from inter-user interference. Based on the AQNM and the ZF receiver, a strict closed-form rate expression is derived, which motivates us to analyse the effect of quantization bits on the system performance. Simulation results show that 6-bit is the minimum quantized bit, which can achieve the same rate as a cell-free mMIMO system with perfect ADCs. In addition, 1-bit ADCs and 2-bit ADCs can result in severe rate degradation.