Deep learning meets swarm intelligence for UAV-assisted IoT coverage in massive MIMO

M Mahmood, MM Ghadaksaz, A Koc… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
This study considers an unmanned aerial vehicle (UAV)-assisted multiuser massive multiple-
input multiple-output (MU-mMIMO) systems, where a decode-and-forward (DF) relay in the …

Uplink multiple access with semi-grant-free transmission in integrated satellite-aerial-terrestrial networks

H Kong, M Lin, L Han, WP Zhu, Z Ding… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
This paper investigates a semi-grant-free (SGF) based transmission strategy to provide a
flexible connectivity for various kinds of users in an integrated satellite-aerial-terrestrial …

Intelligent non-orthogonal beamforming with large self-interference cancellation capability for full-duplex multiuser massive MIMO systems

A Koc, T Le-Ngoc - IEEE Access, 2022 - ieeexplore.ieee.org
This work introduces a novel full-duplex hybrid beamforming (FD-HBF) technique for the
millimeter-wave (mmWave) multi-user massive multiple-input multiple-output (MU-mMIMO) …

Full-duplex mmWave MIMO with finite-resolution phase shifters

R López-Valcarce… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Enabling simultaneous transmission and reception on the same carrier frequency, ie, full-
duplex (FD) communication, critically requires that the self-interference (SI) be sufficiently …

The manifestation of spatial wideband effect in circular array: From beam split to beam defocus

Z Wu, L Dai - IEEE Transactions on Communications, 2024 - ieeexplore.ieee.org
Millimeter-wave (mmWave) and terahertz (THz) communications with hybrid precoding
architectures have been regarded as energy-efficient solutions to fulfill the vision of high …

Robust energy-efficient hybrid beamforming design for massive MIMO LEO satellite communication systems

Y Liu, C Li, J Li, L Feng - IEEE Access, 2022 - ieeexplore.ieee.org
In low earth orbit (LEO) satellite communication systems, the limited energy supply capacity
and the difficulty in obtaining channel state information (CSI) are the practical challenges …

3-D antenna array structures for millimeter wave multi-user massive MIMO hybrid precoder design: A performance comparison

M Mahmood, A Koc, T Le-Ngoc - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
In this letter, we investigate the performance of various three-dimensional (3D) array
structures in the design of hybrid precoder (HP) for millimeter wave (mmWave) multi-user …

A deep learning and geospatial data-based channel estimation technique for hybrid massive MIMO systems

X Zhu, A Koc, R Morawski, T Le-Ngoc - IEEE Access, 2021 - ieeexplore.ieee.org
This paper presents a novel channel estimation technique for the multi-user massive
multiple-input multiple-output (MU-mMIMO) systems using angular-based hybrid precoding …

Deep learning based multi-user power allocation and hybrid precoding in massive MIMO systems

A Koc, M Wang, T Le-Ngoc - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
This paper proposes a deep learning based power allocation (DL-PA) and hybrid precoding
technique for multi-user massive multiple-input multiple-output (MU-mMIMO) systems. We …

Sub-array selection in full-duplex massive MIMO for enhanced self-interference suppression

M Mahmood, A Koc, DT Nguyen… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
This study considers a novel full-duplex (FD) massive multiple-input multiple-output
(mMIMO) system using hybrid beamforming (HBF) architecture, which allows for …