Improving Connectivity in 6G Maritime Communication Networks with UAV Swarms

N Nomikos, A Giannopoulos, A Kalafatelis… - IEEE …, 2024 - ieeexplore.ieee.org
The deployment of maritime communication networks (MCNs) enables Internet-of-Things
(IoT) applications, related to autonomous navigation, offshore facilities and smart ports. Still …

Distributed Machine Learning and Native AI Enablers for End-to-End Resources Management in 6G

OA Karachalios, A Zafeiropoulos, K Kontovasilis… - Electronics, 2023 - mdpi.com
6G targets a broad and ambitious range of networking scenarios with stringent and diverse
requirements. Such challenging demands require a multitude of computational and …

Machine Learning for Geospatial Analysis: Enhancing Spatial Understanding and Decision-Making

RR Vincent, E Sakthivel, M Kumari, F Nisha… - … Learning, and Python …, 2024 - igi-global.com
Historically, statistical techniques have been a major component of geographic analysis,
which is the study of geographical phenomena using geographic data. But the emergence of …

5G InterOPERAbility of open RAN components in large testbed ecosystem: towards 6G flexibility

T Höschele, F Kaltenberger… - … Wireless 2022; 27th …, 2022 - ieeexplore.ieee.org
An Open Radio Access Network (Open RAN) is a mobile network architecture that allows a
Mobile Network Operator (MNO) to use network components from different vendors thanks to …

Dynamic Deployment of Fault Detection Models

D Mailer, G Steindl, W Kastner - 2023 IEEE 28th International …, 2023 - ieeexplore.ieee.org
This paper describes an approach for integrating a Machine Learning (ML) model for fault
detection into an Asset Administration Shell (AAS), focusing on the seamless deployment of …

Universal Vertical Applications Adaptation for Open RAN: A Deep Reinforcement Learning Approach

YC Huang, SY Lien, CC Tseng… - … on Wireless Personal …, 2022 - ieeexplore.ieee.org
The most challenging issues for the fifth-generation (SG) radio access networks (RANs) are
to support manifold verti-cal applications in any deployment environment and optimize the …

Deep Autoencoder Design for RF Anomaly Detection in 5G O-RAN Near-RT RIC via xApps

OT Başaran, M Başaran, D Turan… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
The agile and rapid management of the operations that take place in 5G radio access
networks (RAN) including the monitoring of RF fluctuations, throughput suffering, and …

Energy-efficient power management for O-RAN base stations utilizing pedestrian flow analytics and non-terrestrial networks

T Miyazawa, K Ishizu, H Asaeda… - IEICE Transactions …, 2024 - ieeexplore.ieee.org
Recently, the open radio access network (O-RAN) architecture has been expected to
enhance both the openness of network components and the intelligence of control functions …

Prospective Evaluation of Wireless Broadband in the Peak Smartphone Era: 6G versus Wi-Fi 7 and 8

E Oughton, G Geraci, M Polese, V Shah… - Available at SSRN …, 2023 - papers.ssrn.com
With the arrival of the peak smartphone era, users are upgrading their smartphones less
frequently, and data consumption growth has slowed. The 2020s will experience a …

Integration of RIC and xApps for Open-Radio Access Network for Performance Optimization

MM Usha, G Sadashivappa… - 2023 7th International …, 2023 - ieeexplore.ieee.org
The evolution of wireless communication networks has led to the emergence of Open Radio
Access Network (O-RAN) as a promising paradigm for enhancing network flexibility …