Design principles for model generalization and scalable AI integration in radio access networks

P Soldati, E Ghadimi, B Demirel, Y Wang… - IEEE …, 2024 - ieeexplore.ieee.org
This article emphasizes the pivotal role of model generalization in enhancing performance
and enabling scalable AI integration within radio communications. We outline design …

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 …

Physics-Based Propagation Models Enabled by Machine Learning

A Seretis - 2024 - search.proquest.com
As a growing number of wireless services with high performance demands is offered, their
intelligent planning and efficient management becomes more urgent. To that end, channel …

[PDF][PDF] Fast Selection of Indoor Wireless Transmitter Locations with Generalizable Neural Network Propagation Models

A Seretis, C Xu, C Sarris - Authorea Preprints, 2024 - techrxiv.org
The continuous emergence of new wireless communication systems increases the need for
intelligent planning prior to their deployment. This planning includes determining the …