3 papers
cs.NI2026
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…
cs.NI2026
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…
cs.NI2024
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…