SVM-based channel estimation and data detection for one-bit massive MIMO systems

LV Nguyen, AL Swindlehurst… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The use of low-resolution Analog-to-Digital Converters (ADCs) is a practical solution for
reducing cost and power consumption for massive Multiple-Input-Multiple-Output (MIMO) …

Deep Learning Based One Bit-ADCs Efficient Channel Estimation Using Fewer Pilots Overhead for Massive MIMO System

MH Rahman, MAS Sejan, MA Aziz, R Tabassum… - IEEE …, 2024 - ieeexplore.ieee.org
The massive MIMO approach presents an exciting prospect for the upcoming generation of
wireless transmission systems. However, the adoption of actual massive MIMO scenarios is …

Deep learning for estimation and pilot signal design in few-bit massive MIMO systems

LV Nguyen, DHN Nguyen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Estimation in few-bit MIMO systems is challenging, since the received signals are
nonlinearly distorted by the low-resolution ADCs. In this paper, we propose a deep learning …

Semi-blind channel estimation and data detection for multi-cell massive MIMO systems on time-varying channels

M Naraghi-Pour, M Rashid, C Vargas-Rosales - IEEE Access, 2021 - ieeexplore.ieee.org
We study the problem of semi-blind channel estimation and symbol detection in the uplink of
multi-cell massive MIMO (multi-input multi-output) systems with spatially correlated time …

Development of hybrid sewing training-based dingo optimization algorithm for massive MIMO spectral efficiency maximization system

M Kondaiah, M Padmaja - Australian Journal of Electrical and …, 2024 - Taylor & Francis
ABSTRACT A Base Station (BS) with several antenna elements serves a number of users in
the frequency of the same time-slot in a huge multiuser “Multiple-Input Multiple-Output …

Deep learning-based channel estimation in MIMO system for pilot decontamination

GN Reddy, CVR Kumar - … Journal of Ad Hoc and Ubiquitous …, 2023 - inderscienceonline.com
The next-generation wireless communication system makes use of the upcoming technology
known as massive multiple-input multiple-output (MIMO). The imprecise channel estimation …

A comprehensive study on channel estimation techniques using machine learning for massive MIMO systems

K Madurai, D Sivaraman, B Balasubramaiyan… - AIP Conference …, 2023 - pubs.aip.org
Estimating the Wireless channel parameters using the received signal to noise ratio
feedback is an effective method in realistic wireless multiple-input multiple-output (MIMO) …

Transceiver Decoupling of Multivariate Symmetric Hybrid Precoding Based on 5G

Q Zhang, Z Zhang, Z Wang… - … and Mobile Computing, 2022 - Wiley Online Library
Mobile Internet will promote the continuous change of human interaction, leading to an
increase in mobile traffic, so the demand for network bandwidth and data volume is rising …

[KSIĄŻKA][B] Development of Machine Learning Algorithms for Low-Resolution MIMO Signal Processing

VL Nguyen - 2022 - search.proquest.com
Due to the proliferation of mobile devices and services, the scale of multiple-input-multiple-
output (MIMO) communication systems is getting larger and larger and can be massive in …

Two Novel Downlink Precoding Schemes for TDD Massive MIMO Systems

H ZHI, Z HUANG, Y ZHA, F WANG - 电子与信息学报, 2021 - jeit.ac.cn
For time-division duplex massive MIMO systems, two new downlink precoding schemes are
proposed, namely New Maximum Ratio Combining (NMRC) and New Zero-Forcing (NZF) …