Channel estimation techniques for millimeter-wave communication systems: Achievements and challenges

K Hassan, M Masarra, M Zwingelstein… - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
The fifth-generation (5G) of cellular networks and beyond requires massive connectivity,
high data rates, and low latency. Millimeter-wave (mmWave) communications is a key 5G …

Symbol-level and multicast precoding for multiuser multiantenna downlink: A state-of-the-art, classification, and challenges

M Alodeh, D Spano, A Kalantari… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Precoding has been conventionally considered as an effective means of mitigating or
exploiting the interference in the multiantenna downlink channel, where multiple users are …

Twenty-five years of advances in beamforming: From convex and nonconvex optimization to learning techniques

AM Elbir, KV Mishra, SA Vorobyov… - IEEE Signal Processing …, 2023 - ieeexplore.ieee.org
Beamforming is a signal processing technique to steer, shape, and focus an electromagnetic
(EM) wave using an array of sensors toward a desired direction. It has been used in many …

Throughput analysis of massive MIMO uplink with low-resolution ADCs

S Jacobsson, G Durisi, M Coldrey… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
We investigate the uplink throughput achievable by a multiple-user (MU) massive multiple-
input multiple-output (MIMO) system, in which the base station is equipped with a large …

Channel estimation in broadband millimeter wave MIMO systems with few-bit ADCs

J Mo, P Schniter, RW Heath - IEEE Transactions on Signal …, 2017 - ieeexplore.ieee.org
We develop a broadband channel estimation algorithm for millimeter wave (mmWave)
multiple input multiple output (MIMO) systems with few-bit analog-to-digital converters …

Quantized precoding for massive MU-MIMO

S Jacobsson, G Durisi, M Coldrey… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Massive multiuser (MU) multiple-input multiple-output (MIMO) is foreseen to be one of the
key technologies in fifth-generation wireless communication systems. In this paper, we …

Deep learning-based channel estimation for massive MIMO systems

CJ Chun, JM Kang, IM Kim - IEEE Wireless Communications …, 2019 - ieeexplore.ieee.org
In this letter, we propose a deep learning (DL)-based channel estimation scheme for the
massive multiple-input multiple-output (MIMO) system. Unlike existing studies, we develop …

Angular-distance based channel estimation for holographic MIMO

Y Chen, Y Wang, Z Wang, Z Han - IEEE Journal on Selected …, 2024 - ieeexplore.ieee.org
Leveraging the concept of the electromagnetic signal and information theory, holographic
multiple-input multiple-output (MIMO) technology opens the door to an intelligent and …

Transmit sequence design for dual-function radar-communication system with one-bit DACs

Z Cheng, S Shi, Z He, B Liao - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
In this paper, the problem of transmit sequence design for a dual-function radar-
communication (DFRC) system equipped with one-bit digital-to-analog converters (DACs) is …

Mixed-ADC/DAC multipair massive MIMO relaying systems: Performance analysis and power optimization

J Zhang, L Dai, Z He, B Ai… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
High power consumption and expensive hardware are two bottlenecks for practical massive
multiple-input multiple-output (mMIMO) systems. One promising solution is to employ low …