HBF MU-MIMO With Interference-Aware Beam Pair Link Allocation for Beyond-5G mm-Wave Networks

IF 7.7 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Aleksandar Ichkov;Alexander Wietfeld;Marina Petrova;Ljiljana Simić
{"title":"HBF MU-MIMO With Interference-Aware Beam Pair Link Allocation for Beyond-5G mm-Wave Networks","authors":"Aleksandar Ichkov;Alexander Wietfeld;Marina Petrova;Ljiljana Simić","doi":"10.1109/TMC.2025.3526547","DOIUrl":null,"url":null,"abstract":"Hybrid beamforming (HBF) multi-user multiple-input multiple-output (MU-MIMO) is a key technology for unlocking the directional millimeter-wave (mm-wave) nature for spatial multiplexing beyond current codebook-based 5G-NR networks. In order to suppress co-scheduled users’ interference, HBF MU-MIMO is predicated on having sufficient radio frequency chains and accurate channel state information (CSI), which can otherwise lead to performance losses due to imperfect interference cancellation. In this work, we propose <italic>IABA</i>, a 5G-NR standard-compliant beam pair link (BPL) allocation scheme for mitigating spatial interference in practical HBF MU-MIMO networks. <italic>IABA</i> solves the network sum throughput optimization via either a <italic>distributed</i> or a <italic>centralized</i> BPL allocation using dedicated CSI reference signals for candidate BPL monitoring. We present a comprehensive study of practical multi-cell mm-wave networks and demonstrate that HBF MU-MIMO without interference-aware BPL allocation experiences strong residual interference which limits the achievable network performance. Our results show that <italic>IABA</i> offers significant performance gains over the default interference-agnostic 5G-NR BPL allocation, and even allows HBF MU-MIMO to outperform the fully digital MU-MIMO baseline, by facilitating allocation of secondary BPLs other than the strongest BPL found during initial access. We further demonstrate the scalability of <italic>IABA</i> with increased gNB antennas and densification for beyond-5G mm-wave networks.","PeriodicalId":50389,"journal":{"name":"IEEE Transactions on Mobile Computing","volume":"24 5","pages":"4248-4262"},"PeriodicalIF":7.7000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Mobile Computing","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10829709/","RegionNum":2,"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}
引用次数: 0

Abstract

Hybrid beamforming (HBF) multi-user multiple-input multiple-output (MU-MIMO) is a key technology for unlocking the directional millimeter-wave (mm-wave) nature for spatial multiplexing beyond current codebook-based 5G-NR networks. In order to suppress co-scheduled users’ interference, HBF MU-MIMO is predicated on having sufficient radio frequency chains and accurate channel state information (CSI), which can otherwise lead to performance losses due to imperfect interference cancellation. In this work, we propose IABA, a 5G-NR standard-compliant beam pair link (BPL) allocation scheme for mitigating spatial interference in practical HBF MU-MIMO networks. IABA solves the network sum throughput optimization via either a distributed or a centralized BPL allocation using dedicated CSI reference signals for candidate BPL monitoring. We present a comprehensive study of practical multi-cell mm-wave networks and demonstrate that HBF MU-MIMO without interference-aware BPL allocation experiences strong residual interference which limits the achievable network performance. Our results show that IABA offers significant performance gains over the default interference-agnostic 5G-NR BPL allocation, and even allows HBF MU-MIMO to outperform the fully digital MU-MIMO baseline, by facilitating allocation of secondary BPLs other than the strongest BPL found during initial access. We further demonstrate the scalability of IABA with increased gNB antennas and densification for beyond-5G mm-wave networks.
超5g毫米波网络中具有干扰感知的HBF MU-MIMO波束对链路分配
混合波束成形(HBF)多用户多输入多输出(MU-MIMO)是一项关键技术,可释放毫米波(mm-wave)的定向特性,实现空间复用,超越当前基于码本的 5G-NR 网络。为了抑制共调度用户的干扰,HBF MU-MIMO 必须具备足够的射频链和准确的信道状态信息(CSI),否则会因干扰消除不完美而导致性能损失。在这项工作中,我们提出了符合 5G-NR 标准的波束对链路(BPL)分配方案 IABA,用于在实际的 HBF MU-MIMO 网络中减轻空间干扰。IABA 通过分布式或集中式 BPL 分配,利用候选 BPL 监测的专用 CSI 参考信号来解决网络总和吞吐量优化问题。我们对实际的多蜂窝毫米波网络进行了全面研究,结果表明,没有干扰感知 BPL 分配的 HBF MU-MIMO 网络会遇到强烈的残余干扰,从而限制了可实现的网络性能。我们的研究结果表明,IABA 比默认的不考虑干扰的 5G-NR BPL 分配具有显著的性能提升,甚至通过促进初始接入期间发现的最强 BPL 以外的次级 BPL 分配,使 HBF MU-MIMO 的性能优于全数字 MU-MIMO 基线。我们进一步证明了 IABA 的可扩展性,即随着 gNB 天线的增加和密度的提高,IABA 可用于 5G 以上的毫米波网络。
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 求助全文
来源期刊
IEEE Transactions on Mobile Computing
IEEE Transactions on Mobile Computing 工程技术-电信学
CiteScore
12.90
自引率
2.50%
发文量
403
审稿时长
6.6 months
期刊介绍: IEEE Transactions on Mobile Computing addresses key technical issues related to various aspects of mobile computing. This includes (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Topics of interest span a wide range, covering aspects like mobile networks and hosts, mobility management, multimedia, operating system support, power management, online and mobile environments, security, scalability, reliability, and emerging technologies such as wearable computers, body area networks, and wireless sensor networks. The journal serves as a comprehensive platform for advancements in mobile computing research.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信