Semi-Supervised Learning Approach for Efficient Resource Allocation with Network Slicing in O-RAN

S Nouri, MK Motalleb, V Shah-Mansouri… - arXiv preprint arXiv …, 2024 - arxiv.org
The Open Radio Access Network (O-RAN) technology has emerged as a promising solution
for network operators, providing them with an open and favorable environment. Ensuring …

PACIFISTA: Conflict Evaluation and Management in Open RAN

PB del Prever, S D'Oro, L Bonati, M Polese… - arXiv preprint arXiv …, 2024 - arxiv.org
The O-RAN ALLIANCE is defining architectures, interfaces, operations, and security
requirements for cellular networks based on Open Radio Access Network (RAN) principles …

Machine Learning Applied to Anomaly Detection on 5G O-RAN Architecture

PVA Alves, MASS Goldbarg, WKP Barros… - Procedia Computer …, 2023 - Elsevier
This article presents a study with feasibility and performance analysis of machine learning
(ML) techniques using supervised techniques for anomaly detection problems in a 5G …

Improving Energy Efficiency In Open RAN Through Dynamic CPU Scheduling

S Urumkar, B Ramamurthy… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Open RAN is a promising cellular technology that is currently undergoing extensive
research for future wireless radio access networks. Achieving optimal energy efficiency in …

Reinforcement Learning Based Resource Allocation for Network Slicing in O-RAN

NF Cheng - 2023 - ruor.uottawa.ca
Fifth Generation (5G) introduces technologies that expedite the adoption of mobile networks,
such as densely connected devices, ultra-fast data rate, low latency and more. With those …

[PDF][PDF] Towards more intelligent wireless access networks

P Li - 2023 - research-information.bris.ac.uk
With the introduction of machine learning (ML) technologies, the development of wireless
access networks has gained more significant momentum, enabling WiFi and radio access …