Receiver Maximum Eigenmode Beamforming-Based Null-Space Expansion for Multi-User Massive MIMO in Time-Varying Channel

IF 7.1 2区 计算机科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Vehicular Technology Pub Date : 2025-02-13 DOI:10.1109/TVT.2025.3539399
Yuki Sasaki;Kabuto Arai;Jin Nakazato;Kazuki Maruta
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Abstract

This paper proposes a novel joint weight design scheme for pre/post-coding in multiuser massive multiple-input multiple-output (MU-mMIMO) downlink in time-varying channel environments. It combines Null-Space Expansion (NSE) and Maximum Eigenmode Beamforming (MEB), mainly focusing on user terminals (UTs) with multiple antenna elements. NSE steers additional nulls for interfering UTs using multiple past channel state information (CSI). Since NSE does not predict future channels, it performs excellent interference suppression in high-mobility environments for UTs. However, the limited antenna degrees of freedom (DoF) on the base station (BS) side make it challenging to form nulls effectively for interference suppression in NSE. Therefore, this paper utilizes maximum eigenmode beamforming (MEB). MEB utilizes singular value decomposition (SVD) to form a single stream corresponding to the maximum singular value on the UT side. MEB can supplement the beamforming gain reduction on BS side caused by NSE. Moreover, when a dominant line-of-sight (LoS) component exists in the channel, MEB also performs beamforming for this LoS component on each UT side. Since the LoS component is not highly sensitive to channel fluctuations, the nullification by NSE works more effectively. Computer simulations demonstrate that NSE incorporated with MEB can significantly enhance the Signal-to-Interference-plus-Noise Ratio (SINR) performance compared to conventional channel prediction-based precoding schemes. Its improvement is particularly notable in high-speed UT movement scenarios. This study presents MEB-NSE as an effective solution for stable multiuser spatial multiplexing in mobility environments.
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时变信道下基于接收机最大特征模波束形成的多用户海量MIMO零空间扩展
针对时变信道环境下多用户海量多输入多输出(MU-mMIMO)下行链路的前后编码,提出了一种新的联合权重设计方案。它将零空间扩展(NSE)和最大特征模波束形成(MEB)相结合,主要针对具有多天线单元的用户终端。NSE使用多个过去通道状态信息(CSI)为干扰ut引导额外的空值。由于NSE不能预测未来的信道,因此它在ut的高迁移环境中具有出色的干扰抑制性能。然而,由于基站侧的天线自由度有限,在NSE中很难有效地形成零点来抑制干扰。因此,本文采用了最大特征模波束形成(MEB)技术。MEB利用奇异值分解(SVD),在UT侧形成与最大奇异值相对应的单一流。MEB可以弥补NSE对BS侧波束形成增益的降低。此外,当信道中存在主要视距(LoS)分量时,MEB还在每个UT侧对该LoS分量执行波束形成。由于LoS分量对信道波动不高度敏感,因此NSE的消除工作更有效。计算机仿真表明,与传统的基于信道预测的预编码方案相比,结合MEB的NSE可以显著提高信噪比(SINR)性能。它的改进在高速UT移动场景中尤为显著。本研究提出了MEB-NSE作为移动环境中稳定的多用户空间复用的有效解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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.
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