A survey of UAV-based data collection: Challenges, solutions and future perspectives

K Messaoudi, OS Oubbati, A Rachedi, A Lakas… - Journal of network and …, 2023 - Elsevier
Abstract Internet of Things (IoT) generates unlimited data, which should be collected and
forwarded towards a central controller (CC) for further processing and decision-making …

A VLC channel model for underground mining environments with scattering and shadowing

PP Játiva, CA Azurdia-Meza, I Sánchez, F Seguel… - IEEE …, 2020 - ieeexplore.ieee.org
Underground mining is an industry that preserves the miners' safety and efficiency in their
work using wireless communication systems as a tool. In addition to communication links …

Correlation and spectral properties of vehicle-to-vehicle channels in the presence of moving scatterers

A Borhani, M Pätzold - IEEE Transactions on Vehicular …, 2013 - ieeexplore.ieee.org
This paper derives a vehicle-to-vehicle (V2V) channel model assuming a typical
propagation scenario in which the local scatterers move with random velocities in random …

An enhanced VLC channel model for underground mining environments considering a 3D dust particle distribution model

P Palacios Játiva, CA Azurdia-Meza, I Sánchez… - Sensors, 2022 - mdpi.com
Underground Mining (UM) is a hostile industry that generally requires a wireless
communication system as a cross-cutting axis for its optimal operation. Therefore, in the last …

Low-complexity downlink channel estimation for millimeter-wave FDD massive MIMO systems

X Wu, G Yang, F Hou, S Ma - IEEE Wireless Communications …, 2019 - ieeexplore.ieee.org
Downlink channel estimation in millimeter-wave (mmWave) frequency division duplex (FDD)
massive multiple input multiple output (MIMO) systems is investigated in this letter …

A random trajectory approach for the development of nonstationary channel models capturing different scales of fading

A Borhani, GL Stüber, M Pätzold - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper introduces a new approach to developing stochastic nonstationary channel
models, the randomness of which originates from a random trajectory of the mobile station …

Single base station positioning based on multipath parameter clustering in NLOS environment

Y Wang, Q Wu, M Zhou, X Yang, W Nie… - EURASIP Journal on …, 2021 - Springer
This paper proposes a scattering area model for processing multipath parameters achieve
single base station positioning. First of all, we construct a scattering area model based on …

A new COVID-19 detection method based on CSK/QAM visible light communication and machine learning

I Soto, R Zamorano-Illanes, R Becerra, PP Játiva… - Sensors, 2023 - mdpi.com
This article proposes a novel method for detecting coronavirus disease 2019 (COVID-19) in
an underground channel using visible light communication (VLC) and machine learning …

A study of 2D non-stationary massive MIMO channels by transformation of delay and angular power spectral densities

CF López, CX Wang - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
In this article, we propose a transformation method to model space-time-variant (STV) two-
dimensional non-stationary wideband massive multiple-input multiple-output (MIMO) …

Random walk prediction-based channel model for underground-mining visible-light communication network

Y Zhu, C Gan, Y Fang, G Gong, Q Hu - Optical Engineering, 2023 - spiedigitallibrary.org
A random walk prediction (RWP)-based channel model is founded in the underground-
mining (UM) visible-light communication (VLC) network. Among the factors that influence the …