Downlink Performance Analysis of Extremely Large-Scale MIMO-OFDM Systems for High-Speed Railway

IF 7.1 2区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Vehicular Technology Pub Date : 2025-03-06 DOI:10.1109/TVT.2025.3547384
Wenhui Yi;Jiayi Zhang;Zhe Wang;Huahua Xiao;Bo Ai
{"title":"Downlink Performance Analysis of Extremely Large-Scale MIMO-OFDM Systems for High-Speed Railway","authors":"Wenhui Yi;Jiayi Zhang;Zhe Wang;Huahua Xiao;Bo Ai","doi":"10.1109/TVT.2025.3547384","DOIUrl":null,"url":null,"abstract":"Thepotential of extremely large-scale multiple-input multiple-output (XL-MIMO) systems to enhance the performance of high-speed railway (HSR) wireless networks is vast. In this correspondence, we examine the performance characteristics of the XL-MIMO-OFDM HSR system, focusing on uniform planar array (UPA) and uniform linear array (ULA) configurations. Considering the multipath spherical wave channel model, we develop a system model that accounts for the Doppler frequency offset (DFO) caused by train movement. Our analysis includes the performance of effective degrees of freedom (EDoF), deriving closed-form expressions for both UPA- and ULA-based systems. Additionally, we investigate the integration of XL-MIMO with orthogonal frequency-division multiplexing (OFDM), which enhances the signal-to-interference plus noise ratio (SINR) and spectral efficiency (SE) of individual base stations. Simulation results demonstrate the superior EDoF performance of UPA- and ULA-based XL-MIMO-OFDM systems. Moreover, the intercarrier interference resulting from train movement increases with speed, and the degradation in signal quality caused by this interference can be mitigated by configuring the XL-MIMO-OFDM system. Notably, the adoption of XL-MIMO technology with a near-field channel model significantly improves coverage reliability compared to traditional MIMO configurations using a far-field channel model.","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"74 7","pages":"11609-11614"},"PeriodicalIF":7.1000,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Vehicular Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10915611/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Thepotential of extremely large-scale multiple-input multiple-output (XL-MIMO) systems to enhance the performance of high-speed railway (HSR) wireless networks is vast. In this correspondence, we examine the performance characteristics of the XL-MIMO-OFDM HSR system, focusing on uniform planar array (UPA) and uniform linear array (ULA) configurations. Considering the multipath spherical wave channel model, we develop a system model that accounts for the Doppler frequency offset (DFO) caused by train movement. Our analysis includes the performance of effective degrees of freedom (EDoF), deriving closed-form expressions for both UPA- and ULA-based systems. Additionally, we investigate the integration of XL-MIMO with orthogonal frequency-division multiplexing (OFDM), which enhances the signal-to-interference plus noise ratio (SINR) and spectral efficiency (SE) of individual base stations. Simulation results demonstrate the superior EDoF performance of UPA- and ULA-based XL-MIMO-OFDM systems. Moreover, the intercarrier interference resulting from train movement increases with speed, and the degradation in signal quality caused by this interference can be mitigated by configuring the XL-MIMO-OFDM system. Notably, the adoption of XL-MIMO technology with a near-field channel model significantly improves coverage reliability compared to traditional MIMO configurations using a far-field channel model.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
高速铁路超大规模MIMO-OFDM系统下行性能分析
超大规模多输入多输出(XL-MIMO)系统增强高速铁路(HSR)无线网络性能的潜力是巨大的。在这篇通信中,我们研究了xml - mimo - ofdm高铁系统的性能特征,重点是均匀平面阵列(UPA)和均匀线性阵列(ULA)配置。考虑多径球面波通道模型,建立了考虑列车运动引起的多普勒频偏的系统模型。我们的分析包括有效自由度(EDoF)的性能,推导出基于UPA和基于ula的系统的封闭形式表达式。此外,我们研究了xml - mimo与正交频分复用(OFDM)的集成,提高了单个基站的信噪比(SINR)和频谱效率(SE)。仿真结果表明,基于UPA和ula的XL-MIMO-OFDM系统具有良好的EDoF性能。此外,由列车运行引起的载波间干扰随着速度的增加而增加,这种干扰引起的信号质量下降可以通过配置xml - mimo - ofdm系统来减轻。值得注意的是,与使用远场信道模型的传统MIMO配置相比,采用近场信道模型的xml -MIMO技术显著提高了覆盖可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
6.00
自引率
8.80%
发文量
1245
审稿时长
6.3 months
期刊介绍: The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.
期刊最新文献
Optimization of Digital Twin Deployment in IRS-Enhanced Edge Networks Based on Multi-Objective Deep Reinforcement Learning Multi Policy SAC based Joint Optimization of Edge-Cloud Collaborative Task Offloading in Electric Vehicle Networks AI-Empowered Resource Allocation for Wirelessly Powered Pinching-Antenna Systems GULL: Graph-guided Hierarchical Reinforcement Learning for Intelligent Aerial Ferry Routing in Digital Twins Robust UAV Deployment and Task Offloading Based on Road Traffic Flow in Low-Altitude Wireless Networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1