Aero5GBS—Deep learning-empowered ground users handover in aerial 5G and beyond systems

AAL Queiroz, MKS Barbosa, KL Dias - IEEE Access, 2023 - ieeexplore.ieee.org
Recently, Unmanned Aerial Vehicles (UAVs) have been envisioned as aerial base stations,
UAV-BS, serving ground users independently of the traditional cellular infrastructure. It is …

A QoE-driven SDN traffic management for IoT-enabled surveillance systems using deep learning based on edge cloud computing

Z Nazemi Absardi, R Javidan - The Journal of Supercomputing, 2023 - Springer
In recent years, surveillance systems have significantly increased in various environments.
The Internet of Things (IoT), which interconnects objects through the Internet, enhances the …

Deep learning-based qoe prediction for streaming services in mobile networks

G Huang, O Ercetin, H Gokcesu… - 2022 18th international …, 2022 - ieeexplore.ieee.org
Video streaming accounts for the most of the global Internet traffic and providing a high user
Quality of Experience (QoE) is considered an essential target for mobile network operators …

A mean opinion score prediction model for VoIP calls offloading handover from LTE to WiFi

N Mouhassine, M Moughit - Cluster Computing, 2024 - Springer
With the surge in mobile data traffic, leveraging Wi-Fi has become pivotal to alleviate the
strain on LTE networks. An essential challenge lies in selecting the optimal Wi-Fi access …

[HTML][HTML] Innovations for Interpretability, Flexibility, and Sustainability in Intelligent Machinery and Industry 4.0

AJC Trappey, CH Lee, JPT Mo - Applied Sciences, 2023 - mdpi.com
Three levels, namely the device level, the connection level, and the systems management
level, are frequently used to conceptualize intelligent machinery and Industry 4.0 …