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 …

[PDF][PDF] TDD 大规模MIMO 系统中两种新的下行预编码方案

智慧, 黄子菊, 查煜坤, 王飞跃 - 电子与信息学报, 2021 - jeit.ac.cn
针对时分双工大规模MIMO 系统, 该文提出两种新的下行链路预编码方案, 即新最大比合并(
NMRC) 和新迫零(NZF) 方案, 通过理论分析得到两种新预编码方案下目标用户和非目标用户的 …

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) …

[PDF][PDF] 超密集网络导频复用干扰避免策略

黄杰, 杨凡, 高乙文, 张博为 - 通信学报, 2020 - infocomm-journal.com
针对超密集网络中导频复用将产生同一导频的复用干扰, 严重影响信道估计的准确性,
提出了一种超密集网络导频复用干扰避免策略. 通过建立超密集网络子载波的干扰模型 …

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 …