Channel estimation for extremely large-scale MIMO: Far-field or near-field?
Extremely large-scale multiple-input-multiple-output (XL-MIMO) is promising to meet the
high rate requirements for future 6G. To realize efficient precoding, accurate channel state …
high rate requirements for future 6G. To realize efficient precoding, accurate channel state …
Sensing user's channel and location with terahertz extra-large reconfigurable intelligent surface under hybrid-field beam squint effect
This article investigates the sensing of user's uplink channel and location in terahertz extra-
large reconfigurable intelligent surface (XL-RIS) systems, where the unique hybrid far-near …
large reconfigurable intelligent surface (XL-RIS) systems, where the unique hybrid far-near …
Extremely Large Aperture Array (ELAA) Communications: Foundations, Research Advances and Challenges
Extremely large aperture array (ELAA) represents a paradigm shift in wireless antenna
systems, poised to redefine the capabilities of future networks, particularly in the era of the …
systems, poised to redefine the capabilities of future networks, particularly in the era of the …
Non-stationary channel estimation for extremely large-scale MIMO
Extremely large-scale multiple-input multiple-output (XL-MIMO) is considered as a key
technology for future 6G communications. To realize effective precoding, channel estimation …
technology for future 6G communications. To realize effective precoding, channel estimation …
Reinforcement learning-based joint user scheduling and link configuration in millimeter-wave networks
In this paper, we develop algorithms for joint user scheduling and three types of mmWave
link configuration: relay selection, codebook optimization, and beam tracking in millimeter …
link configuration: relay selection, codebook optimization, and beam tracking in millimeter …
Bayesian Bilinear Inference for Joint Channel Tracking and Data Detection in Millimeter-Wave MIMO Systems
We propose a novel joint channel tracking and data detection (JCTDD) scheme to combat
the channel aging phenomenon typical of millimeter-wave (mmWave) multiple-input multiple …
the channel aging phenomenon typical of millimeter-wave (mmWave) multiple-input multiple …
Neural Network-Aided Near-Field Channel Estimation for Hybrid Beamforming Systems
S Jang, C Lee - IEEE Transactions on Communications, 2024 - ieeexplore.ieee.org
Accurate channel state information is paramount for fully harnessing the benefits of massive
antennas in communication systems. However, two primary challenges impede its …
antennas in communication systems. However, two primary challenges impede its …
Beam-delay domain channel estimation for mmWave XL-MIMO systems
This paper investigates the uplink channel estimation of the millimeter-wave (mmWave)
extremely large-scale multiple-input-multiple-output (XL-MIMO) communication system in …
extremely large-scale multiple-input-multiple-output (XL-MIMO) communication system in …
Low complexity orthogonal matching pursuit based near-field channel estimation in XL-MIMO systems
C Ruan, Z Zhang, H Jiang, Y Qi… - IEEE Communications …, 2024 - ieeexplore.ieee.org
In the extremely large-scale multiple-input-multiple-output (XL-MIMO) systems, the
compressed sensing (CS) techniques incur prohibitive computational complexity, especially …
compressed sensing (CS) techniques incur prohibitive computational complexity, especially …
Beam tracking for distributed millimeter-wave massive MIMO systems based on the unscented Kalman filter
P Zhu, H Lin, J Bao, J Li, D Wang - IEEE Wireless …, 2022 - ieeexplore.ieee.org
In this letter, a beam tracking problem is studied in distributed millimeter-wave (mm-wave)
massive multiple-input multiple-output (MIMO) systems. Firstly, a monopulse beam direction …
massive multiple-input multiple-output (MIMO) systems. Firstly, a monopulse beam direction …