Yunxiang Guo;Dongming Wang;Xinjiang Xia;Jiamin Li;Pengcheng Zhu;Xiaohu You
{"title":"具有rce和LO相位漂移的cf - mimo下行性能分析:一种随机几何方法","authors":"Yunxiang Guo;Dongming Wang;Xinjiang Xia;Jiamin Li;Pengcheng Zhu;Xiaohu You","doi":"10.1109/JSYST.2024.3478229","DOIUrl":null,"url":null,"abstract":"In this article, we study the system-level performance of cell-free massive multiple-input multiple-output (CF-mMIMO) systems with reciprocity calibration errors (RCEs) and imperfect phase synchronization due to the local oscillator (LO) phase drift. Considering the practical implementation of a remote radio unit (RRU) and the nonreciprocity of downlink–uplink channels due to RCEs and LO phase drift, we model the downlink channel with a random phase rotation. Then, we study the system-level performance of both centralized and distributed CF-mMIMO architectures with maximum ratio transmission (MRT) and zero-forcing (ZF) precoding schemes. We derive the closed-form expressions for the signal-to-interference-plus-noise ratio of the downlink precoding schemes, and obtain the closed-form expressions for the average spectral efficiency (SE) per user with locations of both RRU and user equipment (UE) following the Poisson point process. Simulation results show that the closed-form expressions are accurate when compared with Monte Carlo results. The results demonstrate that the impact of RCEs and LO phase drift on system performance is more severe for centralized ZF precoding than for MRT and distributed ZF precoding. In addition, we reveal the SE performance concerning antenna configuration of RRU, RRU density, UE density, and LO phase drift range.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"18 4","pages":"2145-2156"},"PeriodicalIF":4.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Downlink Performance Analysis of CF-MMIMO With RCEs and LO Phase Drift: A Stochastic Geometry Approach\",\"authors\":\"Yunxiang Guo;Dongming Wang;Xinjiang Xia;Jiamin Li;Pengcheng Zhu;Xiaohu You\",\"doi\":\"10.1109/JSYST.2024.3478229\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we study the system-level performance of cell-free massive multiple-input multiple-output (CF-mMIMO) systems with reciprocity calibration errors (RCEs) and imperfect phase synchronization due to the local oscillator (LO) phase drift. Considering the practical implementation of a remote radio unit (RRU) and the nonreciprocity of downlink–uplink channels due to RCEs and LO phase drift, we model the downlink channel with a random phase rotation. Then, we study the system-level performance of both centralized and distributed CF-mMIMO architectures with maximum ratio transmission (MRT) and zero-forcing (ZF) precoding schemes. We derive the closed-form expressions for the signal-to-interference-plus-noise ratio of the downlink precoding schemes, and obtain the closed-form expressions for the average spectral efficiency (SE) per user with locations of both RRU and user equipment (UE) following the Poisson point process. Simulation results show that the closed-form expressions are accurate when compared with Monte Carlo results. The results demonstrate that the impact of RCEs and LO phase drift on system performance is more severe for centralized ZF precoding than for MRT and distributed ZF precoding. In addition, we reveal the SE performance concerning antenna configuration of RRU, RRU density, UE density, and LO phase drift range.\",\"PeriodicalId\":55017,\"journal\":{\"name\":\"IEEE Systems Journal\",\"volume\":\"18 4\",\"pages\":\"2145-2156\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Systems Journal\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10740945/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Systems Journal","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10740945/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Downlink Performance Analysis of CF-MMIMO With RCEs and LO Phase Drift: A Stochastic Geometry Approach
In this article, we study the system-level performance of cell-free massive multiple-input multiple-output (CF-mMIMO) systems with reciprocity calibration errors (RCEs) and imperfect phase synchronization due to the local oscillator (LO) phase drift. Considering the practical implementation of a remote radio unit (RRU) and the nonreciprocity of downlink–uplink channels due to RCEs and LO phase drift, we model the downlink channel with a random phase rotation. Then, we study the system-level performance of both centralized and distributed CF-mMIMO architectures with maximum ratio transmission (MRT) and zero-forcing (ZF) precoding schemes. We derive the closed-form expressions for the signal-to-interference-plus-noise ratio of the downlink precoding schemes, and obtain the closed-form expressions for the average spectral efficiency (SE) per user with locations of both RRU and user equipment (UE) following the Poisson point process. Simulation results show that the closed-form expressions are accurate when compared with Monte Carlo results. The results demonstrate that the impact of RCEs and LO phase drift on system performance is more severe for centralized ZF precoding than for MRT and distributed ZF precoding. In addition, we reveal the SE performance concerning antenna configuration of RRU, RRU density, UE density, and LO phase drift range.
期刊介绍:
This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.