32 citations · 54 across the 13 of their papers we have counts for
14 papers
An Intelligent eUPF for Time-Sensitive Path Selection in B5G Edge Networks
Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira, Tereza Cristina Carvalho +1
In Beyond 5G (B5G) networks, intelligent, flexible traffic management is essential to meet the stringent speed and reliability requirements of new applications. This paper presents…
Evaluating Temporal and Structural Anomaly Detection Paradigms for DDoS Traffic
Yasmin Souza Lima, Rodrigo Moreira, Larissa F. Rodrigues Moreira +2
Unsupervised anomaly detection is widely used to detect Distributed Denial-of-Service (DDoS) attacks in cloud-native 5G networks, yet most studies assume a fixed traffic representa…
Asynchronous Probability Ensembling for Federated Disaster Detection
Emanuel Teixeira Martins, Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira +3
Quick and accurate emergency handling in Disaster Decision Support Systems (DDSS) is often hampered by network latency and suboptimal application accuracy. While Federated Learning…
Data Augmentation and Convolutional Network Architecture Influence on Distributed Learning
Victor Forattini Jansen, Emanuel Teixeira Martins, Yasmin Souza Lima +3
Convolutional Neural Networks (CNNs) have proven to be highly effective in solving a broad spectrum of computer vision tasks, such as classification, identification, and segmentati…
NeuroScaler: Towards Energy-Optimal Autoscaling for Container-Based Services
Alisson O. Chaves, Rodrigo Moreira, Larissa F. Rodrigues Moreira +7
Future networks must meet stringent requirements while operating within tight energy and carbon constraints. Current autoscaling mechanisms remain workload-centric and infrastructu…
Noisy Neighbor Influence in the Data Plane of Beyond 5G Networks
Rodrigo Moreira, Larissa Ferreira Rodrigues Moreira, Tereza C. Carvalho +1
Virtualization and containerization enhance the modularity and scalability of mobile network architectures, facilitating customized user services and improving management and orche…
ARCADE: A RAN Diagnosis Methodology in a Hybrid AI Environment for 6G Networks
Daniel Ricardo Cunha Oliveira, Rodrigo Moreira, Flávio de Oliveira Silva
Artificial Intelligence (AI) plays a key role in developing 6G networks. While current specifications already include Network Data Analytics Function (NWDAF) as a network element r…
Performance Evaluation and Threat Mitigation in Large-scale 5G Core Deployment
Rodrigo Moreira, Larissa F. Rodrigues Moreira, Flávio de Oliveira Silva
The deployment of large-scale software-based 5G core functions presents significant challenges due to their reliance on optimized and intelligent resource provisioning for their se…
Optimizing Edge Gaming Slices through an Enhanced User Plane Function and Analytics in Beyond-5G Networks
Bruno Marques da Silva, Larissa Ferreira Rodrigues Moreira, Flávio de Oliveira Silva +1
The latest generation of games and pervasive communication technologies poses challenges in service management and Service-Level Agreement compliance for mobile users. State-of-the…
AI-driven Orchestration at Scale: Estimating Service Metrics on National-Wide Testbeds
Rodrigo Moreira, Rafael Pasquini, Joberto S. B. Martins +2
Network Slicing (NS) realization requires AI-native orchestration architectures to efficiently and intelligently handle heterogeneous user requirements. To achieve this, network sl…
Towards Sustainability in 6G Network Slicing with Energy-Saving and Optimization Methods
Rodrigo Moreira, Tereza C. M. Carvalho, Flávio de Oliveira Silva +2
The 6G mobile network is the next evolutionary step after 5G, with a prediction of an explosive surge in mobile traffic. It provides ultra-low latency, higher data rates, high devi…
Towards Cognitive Service Delivery on B5G through AIaaS Architecture
Larissa F. Rodrigues Moreira, Rodrigo Moreira, Flávio de Oliveira Silva +1
Artificial Intelligence (AI) is pivotal in advancing mobile network systems by facilitating smart capabilities and automation. The transition from 4G to 5G has substantial implicat…
An Intelligent Native Network Slicing Security Architecture Empowered by Federated Learning
Rodrigo Moreira, Rodolfo S. Villaca, Moises R. N. Ribeiro +4
Network Slicing (NS) has transformed the landscape of resource sharing in networks, offering flexibility to support services and applications with highly variable requirements in a…
Enhancing Network Slicing Architectures with Machine Learning, Security, Sustainability and Experimental Networks Integration
Joberto S. B. Martins, Tereza C. Carvalho, Rodrigo Moreira +19
Network Slicing (NS) is an essential technique extensively used in 5G networks computing strategies, mobile edge computing, mobile cloud computing, and verticals like the Internet…