5 papers
Resilience under Uncertainty: Securing 6G through Stochastic Reinstantiation of RAN Functions
Gabriel Almeida, Jacek KibiÅda, Joao F. Santos +1
The disaggregation of base stations into discrete RAN functions introduces new threats to mobile networks, as failures in one RAN function can trigger cascading failures and interr…
Conflict Detection in AI-RAN: Efficient Interaction Learning and Autonomous Graph Reconstruction
Joao F. Santos, Arshia Zolghadr, Scott Kuzdeba +1
Artificial Intelligence (AI)-native mobile networks represent a fundamental step toward 6G, where learning, inference, and decision making are embedded into the Radio Access Networ…
Adaptive Reallocation of RAN Functions for Resilient 6G Networks
Gabriel M. Almeida, Jacek KibiÅda, Joao F. Santos +1
The disaggregation of base stations into discrete RAN functions introduces new threats to mobile networks, as failures in one RAN function can trigger cascading failures and disrup…
Towards Energy- and QoS-aware Load Balancing for 5G Advanced: Leveraging O-RAN to Achieve Sustainability and Energy Efficiency
Gustavo Z. Bruno, Gabriel M. Almeida, Aloizio Da Silva +5
The increasing energy consumption of next-generation mobile networks necessitates the adoption of autonomous and energy-aware management strategies. This article proposes a novel a…
Learning and Reconstructing Conflicts in O-RAN: A Graph Neural Network Approach
Arshia Zolghadr, Joao F. Santos, Luiz A. DaSilva +1
The Open Radio Access Network (O-RAN) architecture enables the deployment of third-party applications on the RAN Intelligent Controllers (RICs). However, the operation of third-par…