Performance of path loss models over mid-band and high-band channels for 5G communication networks: A review

FE Shaibu, EN Onwuka, N Salawu, SS Oyewobi… - Future Internet, 2023 - mdpi.com
The rapid development of 5G communication networks has ushered in a new era of high-
speed, low-latency wireless connectivity, as well as the enabling of transformative …

Evolutionary ensemble learning pathloss prediction for 4G and 5G flying base stations with UAVs

SP Sotiroudis, G Athanasiadou… - … on Antennas and …, 2023 - ieeexplore.ieee.org
The usage of unmanned aerial vehicles (UAVs) as flying base stations (FBSs) for expanding
coverage and assisting the terrestrial cellular networks constitutes a promising technology …

A Machine Learning Approach to Wireless Propagation Modeling in Industrial Environment

M Barbiroli, F Fuschini - IEEE Open Journal of Antennas and …, 2024 - ieeexplore.ieee.org
Wireless channel properties in industrial environments can differ from residential or office
settings due to the considerable impact of heavy machinery that triggers intricate multipath …

A Robust Machine Learning Approach for Path Loss Prediction in 5G Networks with Nested Cross Validation

İ Yazıcı, E Gures - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
The design and deployment of fifth-generation (5G) wireless networks pose significant
challenges due to the increasing number of wireless devices. Path loss has a landmark …

Models of Radio Propagation in Indoor/Outdoor Environments: Past Efforts and Future Challenges

SY Lim, IFM Rafie, QP Soo, Z Yun… - The Advancing World of …, 2024 - Springer
A fundamental approach in the optimal design of wireless communication systems is a
proper comprehension of radio wave propagation through wireless channels. As wireless …

5G Base Station Electromagnetic Field Strength Estimation Method in Complex Hotspot Area using Deep Learning

D Park, S Ryu, S Lee, N Kang, S Kim… - … , Signal & Power …, 2024 - ieeexplore.ieee.org
Recently, with the commercialization of 5G, a new electromagnetic field (EMF) evaluation
methods is need. However, conventional EMF evaluation methods are only based on …

EVALUATING THE EFFECTIVENESS OF MACHINE LEARNING MODELS FOR PATH LOSS PREDICTION AT 3.5 GHz WITH FOCUS ON FEATURE PRIORITIZATION

FS Eneuma, EN Onwuka, N Salawu… - Nigerian Journal of …, 2024 - nijotech.com
Accurate path loss prediction is vital for efficient resource allocation, interference reduction,
and overall network reliability in 5G networks, particularly in the widely deployed mid-band …

The Pursuit of Education: My story [Young Professionals]

SY Lim - IEEE Antennas and Propagation Magazine, 2024 - ieeexplore.ieee.org
Growing up in a developing nation, I always had a dream since I was young to study
overseas one day. However, I lacked the opportunity, just as many others did. Hence I …

[PDF][PDF] Application of Machine Learning in Urban Base Station Placement for 5G Communications and Beyond

IFM Rafie, SY Lim, MJH Chung - jpier.org
Optimal placement of wireless base stations in urban areas allows for maximum coverage
and performance whilst maintaining minimal cost. In this paper, we propose a novel …