Software-defined networking solutions, architecture and controllers for the industrial internet of things: A review

C Urrea, D Benítez - Sensors, 2021 - mdpi.com
The use of Software-Defined Networking (SDN) in the communications of the Industrial
Internet of Things (IIoT) demands more comprehensive solutions than those developed to …

A graph neural network-based digital twin for network slicing management

H Wang, Y Wu, G Min, W Miao - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Network slicing has emerged as a promising networking paradigm to provide resources
tailored for Industry 4.0 and diverse services in 5G networks. However, the increased …

OrchestRAN: Network automation through orchestrated intelligence in the open RAN

S D'Oro, L Bonati, M Polese… - IEEE INFOCOM 2022 …, 2022 - ieeexplore.ieee.org
The next generation of cellular networks will be characterized by softwarized, open, and
disaggregated architectures exposing analytics and control knobs to enable network …

From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey

MN Mahdi, AR Ahmad, QS Qassim, H Natiq… - Applied Sciences, 2021 - mdpi.com
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …

Metropolitan optical networks: A survey on single-layer architectures

LS de Sousa, AC Drummond - Optical Switching and Networking, 2023 - Elsevier
Metropolitan optical networks are undergoing significant transformations to continue being
able to provide services that meet the requirements of the applications of the future. The …

Spatial–temporal graph neural network traffic prediction based load balancing with reinforcement learning in cellular networks

S Liu, M He, Z Wu, P Lu, W Gu - Information Fusion, 2024 - Elsevier
Balancing network traffic among base stations poses a primary challenge for mobile
operators because of the escalating demand for enhanced data speeds in large-scale 5G …

A data-driven base station sleeping strategy based on traffic prediction

J Lin, Y Chen, H Zheng, M Ding… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Due to the rapidly increasing number of base stations (BSs) in the operational cellular
networks, their energy consumption is escalating. In this paper, we propose an intelligent …

OrchestRAN: Orchestrating network intelligence in the open RAN

S D'Oro, L Bonati, M Polese… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The next generation of cellular networks will be characterized by softwarized, open, and
disaggregated architectures exposing analytics and control knobs to enable network …

Application of an innovative convolutional/LSTM neural network for computing resource allocation in NFV network architectures

V Eramo, T Catena - IEEE Transactions on Network and …, 2022 - ieeexplore.ieee.org
An innovative resource allocation framework for virtualized network environments and
based on the application of Artificial Intelligence techniques is proposed and investigated. It …

A classification of the enabling techniques for low latency and reliable communications in 5G and beyond: AI-enabled edge caching

LC Mutalemwa, S Shin - IEEE Access, 2020 - ieeexplore.ieee.org
Various advanced and mission-critical applications are enabled by the emerging
technologies in fifth-generation (5G) mobile communication systems. To ensure improved …