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

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.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-02-13
DOI
https://doi.org/10.1109/tvt.2025.3539399
Citations
8
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
34.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Kazuki Maruta, Kabuto Arai, Jin Nakazato, Yuki Sasaki
8 citations
IEEE Transactions on Vehicular Technology
Antenna Design and Analysis
34.95
article

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

Kazuki Maruta, Kabuto Arai, Jin Nakazato, Yuki Sasaki
article en
8 citations

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.

IEEE Transactions on Vehicular TechnologyVol. 74(6)
Tokyo University of Science (JP), University of Electro-Communications (JP), The University of Tokyo (JP)
Affordable and clean energy
Openalex Percentile: Top 1%
Antenna Design and Analysis
34.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.