The EMF exposure monitoring in cellular networks by Serbian EMF RATEL system

N Djuric, D Kljajic, T Gavrilov… - … on Measurements & …, 2022 - ieeexplore.ieee.org
The technologies of cellular networks have considerably evolved over the last few decades,
becoming almost ubiquitous in population life. One of the main characteristics of those …

Exposure to RF EMF from array antennas in 5G mobile communication equipment

B Thors, D Colombi, Z Ying, T Bolin, C Törnevik - IEEE Access, 2016 - ieeexplore.ieee.org
In this paper, radio-frequency (RF) electromagnetic field (EMF) exposure evaluations are
conducted in the frequency range 10-60 GHz for array antennas intended for user …

Mitigation of human EMF exposure in a cellular wireless system

I Nasim, S Kim - 2020 IEEE 92nd Vehicular Technology …, 2020 - ieeexplore.ieee.org
While research on communications at frequencies above 6 gigahertz (GHz) has been
primarily confined to performance improvement, their potentially harmful impacts on human …

Simulation vs. testbed: small scale experimental validation of an open-source LTE-a model

L Wischhof, F Schaipp, S Schuhbäck… - 2020 IEEE 31st …, 2020 - ieeexplore.ieee.org
A majority of scientific publications on wireless networking is (partly) based on network
simulation in order to evaluate the presented concepts, algorithms and architectures. In …

Real world performance of LTE downlink in a static dense urban scenario-an open dataset

V Raida, P Svoboda, M Rupp - GLOBECOM 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Open datasets with measurements in cellular mobile networks are rare. In this paper, we
share 90 hours (over 600 000 samples with time-resolution of 500 milliseconds) of …

Adverse impacts of 5G downlinks on human body

I Nasim, S Kim - 2019 SoutheastCon, 2019 - ieeexplore.ieee.org
The increasing demand for higher data rates and uninterrupted reliable service have made
the frequency spectrum above 6 GHz a very promising candidate for future wireless …

DNN-based beam and blockage prediction in 3GPP InH scenario

H Liu, S Moon, H Kim, I Hwang - … International Conference on …, 2020 - ieeexplore.ieee.org
In this paper, we investigates DNN-based beam and blockage prediction in a millimeter-
wave (mm-wave) indoor hotspot scenario. First, a deep neural network (DNN) is designed to …

Transmission power optimization in live 3GPP LTE-A indoor deployment

P Masek, M Slabicki, J Hosek… - 2016 8th International …, 2016 - ieeexplore.ieee.org
As demand for mobile broadband grows, the need for greater indoor coverage and capacity
becomes more urgent as the ubiquitous connection to the Internet is mentioned very often …

A deep learning approach for channel estimation in 5G wireless communications

KM Ebrahiem, HY Soliman… - 2021 38th National …, 2021 - ieeexplore.ieee.org
This paper studies the applications of Deep Learning (branch of Machine Learning) in 5G
wireless communication systems. Deep Learning requires having large sets of data for …

PABAFT: channel prediction approach based on autoregression and flexible TDD for 5G systems

K Glinskiy, A Kureev, A Krasilov, E Khorov - Electronics, 2022 - mdpi.com
To achieve high gains from multiple antennas in 5G systems, the base station (gNB)
constructs precoders using channel measurements obtained based on pilot signals. For …