Cell-free millimeter-wave massive MIMO systems with limited fronthaul capacity
G Femenias, F Riera-Palou - IEEE Access, 2019 - ieeexplore.ieee.org
Network densification, massive multiple-input multiple-output (MIMO), and millimeter-wave
(mmWave) bands have recently emerged as some of the physical layer enablers for the …
(mmWave) bands have recently emerged as some of the physical layer enablers for the …
Hybrid precoding for wideband millimeter wave MIMO systems in the face of beam squint
Hybrid Transmit Precoding (TPC) is one of the most compelling solutions for millimeter wave
(mmWave) multiple-input multiple output (MIMO) systems. However, most attention has been …
(mmWave) multiple-input multiple output (MIMO) systems. However, most attention has been …
Super-resolution channel estimation for arbitrary arrays in hybrid millimeter-wave massive MIMO systems
This paper develops efficient channel estimation techniques for millimeter-wave (mmWave)
massive multiple-input multiple-output (MIMO) systems under practical hardware limitations …
massive multiple-input multiple-output (MIMO) systems under practical hardware limitations …
Passive radar at the roadside unit to configure millimeter wave vehicle-to-infrastructure links
A Ali, N González-Prelcic… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Millimeter wave (mmWave) vehicular channels are highly dynamic, and the communication
link needs to be reconfigured frequently. In this work, we propose to use a passive radar …
link needs to be reconfigured frequently. In this work, we propose to use a passive radar …
Spatial covariance estimation for millimeter wave hybrid systems using out-of-band information
A Ali, N Gonzalez-Prelcic… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In high mobility applications of millimeter wave (mmWave) communications, eg, vehicle-to-
everything communication and next-generation cellular communication, frequent link …
everything communication and next-generation cellular communication, frequent link …
Deep learning based channel covariance matrix estimation with user location and scene images
Channel covariance matrix (CCM) is one critical parameter for designing the
communications systems. In this paper, a novel framework of the deep learning (DL) based …
communications systems. In this paper, a novel framework of the deep learning (DL) based …
Channel estimation based on compressed sensing for massive MIMO systems with Lens Antenna Array
With the emergence of fifth-generation cellular networks (5G), there has been significant
interest in multi-input-multi-output (MIMO) systems. MIMO systems aim to achieve several …
interest in multi-input-multi-output (MIMO) systems. MIMO systems aim to achieve several …
Generative adversarial estimation of channel covariance in vehicular millimeter wave systems
X Li, A Alkhateeb… - 2018 52nd Asilomar …, 2018 - ieeexplore.ieee.org
Enabling highly-mobile millimeter wave (mmWave) systems is challenging because of the
huge training overhead associated with acquiring the channel knowledge or designing the …
huge training overhead associated with acquiring the channel knowledge or designing the …
Compressive sensing-based beam alignment schemes for time-varying millimeter-wave channels
This paper considers the implementation of compressive sensing (CS) approaches for beam
alignment (BA) in multiuser millimeter wave (mmWave) MIMO systems. We particularly …
alignment (BA) in multiuser millimeter wave (mmWave) MIMO systems. We particularly …
Off-grid aware channel and covariance estimation in mmWave networks
The spectrum scarcity at sub-6 GHz spectrum has made millimeter-wave (mmWave)
frequency band a key component of the next-generation wireless networks. While mmWave …
frequency band a key component of the next-generation wireless networks. While mmWave …