Unveiling latency-induced service degradation: A methodological approach with dataset

B Bicski, A Pekar - IEEE Access, 2024 - ieeexplore.ieee.org
This paper presents a comprehensive study on the identification and analysis of Service
Degradation (SD) events within a university dormitory network, leveraging LAN data to …

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 …

5GC-Observer: a Non-intrusive Observability Framework for Cloud Native 5G System

A Khichane, I Fajjari, N Aitsaadi… - NOMS 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Telco stakeholders are developing a deeper understanding of cloud native technologies
and adopting them faster than few years ago. It is undeniable that migrating legacy telco …

Root cause analysis of network fault based on random forest

L Liu, K Zhang, L Liu, L Zhang… - 2022 7th International …, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) has become an important means of network anomaly detection and
fault root cause analysis (RCA), but most applications are only for a certain segment of the …

Fast and Accurate Root Cause Analysis Based on Signalling Messages for 5G Networks

Z Guo, J Sun, J Fu, L Yuan, S Zhuang… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
The ever-increasing complexity and scale of 5G communication networks pose huge
challenges to network operations. Root cause analysis is considered as a promising method …

5GC-Analyser: Demistifying the 5G Core Network Through Statistical Analysis

A Khichane, I Fajjari, N Aitsaadi… - ICC 2024-IEEE …, 2024 - ieeexplore.ieee.org
Observability has become a crucial aspect in cloud native environments, allowing for the
measurement of internal states in IT systems. With the emergence of 5G and the anticipation …

[PDF][PDF] Cell Fault Management Using Resource Efficient Machine Learning Techniques

D Mulvey - 2023 - openresearch.surrey.ac.uk
The pressure to achieve greater data rates from limited radio spectrum while reducing
latency in 5G and soon 6G has resulted in the introduction of new and complex features into …

Machine learning-based diagnostics and observability in mobile networks

T Sundqvist - 2023 - diva-portal.org
To meet the high-performance and reliability demands of 5G, the Radio Access Network
(RAN) is moving to a cloud-native architecture. The new microservice architecture promises …

Generation of Causal Networks and Model of Influence Propagation

IE Azevedo - 2023 - search.proquest.com
A propagação de influência causal apresenta desafios significativos em sistemas
complexos. Em particular, em processos industriais, a ocorrência e propagação de falhas …

[PDF][PDF] Service Degradation Detection Using Early Network Traffic Flow Characteristics

B Bicski, A Pekár - hte.hu
This thesis presents a comprehensive study on identifying and predicting Service
Degradation (SD) events in network environments, encompassing both LAN data from a …