Convergence of edge computing and deep learning: A comprehensive survey

X Wang, Y Han, VCM Leung, D Niyato… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Ubiquitous sensors and smart devices from factories and communities are generating
massive amounts of data, and ever-increasing computing power is driving the core of …

A review of edge computing: Features and resource virtualization

Y Mansouri, MA Babar - Journal of Parallel and Distributed Computing, 2021 - Elsevier
With the advent of Internet of Things (IoT) connecting billions of mobile and stationary
devices to serve real-time applications, cloud computing paradigms face some significant …

Toward integrating intelligence and programmability in open radio access networks: A comprehensive survey

A Arnaz, J Lipman, M Abolhasan, M Hiltunen - Ieee Access, 2022 - ieeexplore.ieee.org
Open RAN is an emerging vision and an advancement of the Radio Access Network (RAN).
Its purpose is to implement a vendor and network-generation agnostic RAN, provide …

Link performance prediction technologies

J Svennebring, AV Jeyaraj - US Patent 11,159,408, 2021 - Google Patents
Various systems and methods for determining and communicating Link Performance
Predictions (LPPs), such as in connection with management of radio communication links …

[HTML][HTML] Machine learning in vehicular networking: An overview

K Tan, D Bremner, J Le Kernec, L Zhang… - Digital Communications …, 2022 - Elsevier
As vehicle complexity and road congestion increase, combined with the emergence of
electric vehicles, the need for intelligent transportation systems to improve on-road safety …

Mobility management in 5G-enabled vehicular networks: Models, protocols, and classification

N Aljeri, A Boukerche - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Over the past few years, the next generation of vehicular networks is envisioned to play an
essential part in autonomous driving, traffic management, and infotainment applications. The …

[HTML][HTML] An overview of fog data analytics for IoT applications

J Bhatia, K Italiya, K Jadeja, M Kumhar, U Chauhan… - Sensors, 2022 - mdpi.com
With the rapid growth in the data and processing over the cloud, it has become easier to
access those data. On the other hand, it poses many technical and security challenges to the …

[PDF][PDF] Fog Computing Based on Machine Learning: A Review.

FEF Samann, AM Abdulazeez, S Askar - International Journal of …, 2021 - academia.edu
Internet of Things (IoT) systems usually produce massive amounts of data, while the number
of devices connected to the internet might reach billions by now. Sending all this data over …

Achieving democracy in edge intelligence: A fog-based collaborative learning scheme

T Zhang, Z Shen, J Jin, X Zheng… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The emergence of fog computing has brought unprecedented opportunities to the Internet-of-
Things (IoT) field, and it is now feasible to incorporate deep learning at the edge of the IoT …

Machine learning protocol for secure 5G handovers

VO Nyangaresi, AJ Rodrigues, SO Abeka - International Journal of …, 2022 - Springer
The fifth generation (5G) networks are characterized with ultra-dense deployment of base
stations with limited footprint. Consequently, user equipment's handover frequently as they …