1 citations · 1 across the 6 of their papers we have counts for
8 papers
Understanding Conflict and Compatibility Conditions for Agents in AI-RAN
Arshia Zolghadr, Joao F. Santos, Imtiaz Nasim +3
Disaggregated mobile networks expose open interfaces for independent agents to control the Radio Access Network (RAN). The interactions between agents with contrasting objectives c…
Adaptive RIS-aided Communications through ML-based Generation of Phase Masks
Corwin Carpenter, Thomas Daltzis, George C. Trichopoulos +2
Reconfigurable Intelligent Surfaces (RISs) are an attractive technology for Millimeter Wave (mmWave) communications due to their ability to passively reflect incident signals. Howe…
Resilience under Uncertainty: Securing 6G through Stochastic Reinstantiation of RAN Functions
Gabriel Almeida, Jacek Kibiłda, 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 Kibiłda, 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…
Beam Profiling and Beamforming Modeling for mmWave NextG Networks
Efat Samir Fathalla, Sahar Zargarzadeh, Chunsheng Xin +5
This paper presents an experimental study on mmWave beam profiling on a mmWave testbed, and develops a machine learning model for beamforming based on the experiment data. The data…