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 …

Deep learning for massive MIMO channel state acquisition and feedback

M Boloursaz Mashhadi, D Gündüz - Journal of the Indian Institute of …, 2020 - Springer
Massive multiple-input multiple-output (MIMO) systems are a main enabler of the excessive
throughput requirements in 5G and future generation wireless networks as they can serve …

Data-driven deep learning based hybrid beamforming for aerial massive MIMO-OFDM systems with implicit CSI

Z Gao, M Wu, C Hu, F Gao, G Wen… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In an aerial hybrid massive multiple-input multiple-output (MIMO) and orthogonal frequency
division multiplexing (OFDM) system, how to design a spectral-efficient broadband multi …

Dynamic RF chain selection for energy efficient and low complexity hybrid beamforming in millimeter wave MIMO systems

A Kaushik, J Thompson, E Vlachos… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
This paper proposes a novel architecture with a framework that dynamically activates the
optimal number of radio frequency (RF) chains used to implement hybrid beamforming in a …

Joint bit allocation and hybrid beamforming optimization for energy efficient millimeter wave MIMO systems

A Kaushik, E Vlachos, C Tsinos… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In this article, we aim to design highly energy efficient end-to-end communication for
millimeter wave multiple-input multiple-output systems. This is done by jointly optimizing the …

Channel estimation for quantized systems based on conditionally Gaussian latent models

B Fesl, N Turan, B Böck… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This work introduces a novel class of channel estimators tailored for coarse quantization
systems. The proposed estimators are founded on conditionally Gaussian latent generative …

Towards 6G: Spectrally efficient joint radar and communication with radio frequency selection, interference and hardware impairments

A Kaushik, E Vlachos, J Thompson… - IET Signal …, 2022 - Wiley Online Library
The joint radar‐communication (JRC) system is envisioned as an emerging sixth generation
(6G) technology to tackle spectral congestion and hardware limitations by jointly …

Green joint radar-communications: RF selection with low resolution DACs and hybrid precoding

A Kaushik, E Vlachos, C Masouros… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
This paper considers a multiple-input multiple-output (MIMO) joint radar-communication
(JRC) transmission with hybrid precoding and low resolution digital to analog converters …

Quantitative trait loci for agronomic traits in tetraploid wheat for enhancing grain yield in Kazakhstan environments

S Anuarbek, S Abugalieva, N Pecchioni, G Laidò… - PLoS …, 2020 - journals.plos.org
Durum wheat (Triticum turgidum L. ssp. durum) is one of the top crops in Kazakhstan, where
it is cultivated in different ecological niches, mainly at higher latitudes in the steppe zone of …

Radio-frequency chain selection for energy and spectral efficiency maximization in hybrid beamforming under hardware imperfections

E Vlachos, J Thompson… - Proceedings of the …, 2020 - royalsocietypublishing.org
The next-generation wireless communications require reduced energy consumption,
increased data rates and better signal coverage. The millimetre-wave frequency spectrum …