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20162026
most citedCoverage Analysis for Low-Altitude UAV Networks in Urban Environments

85 citations · 159 across the 24 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

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

Performance Analysis of ISAC Slicing with Sensing-Assisted Communication and Communication-Assisted Sensing

Daniel Campos, Jacek Kibilda

Integrated Sensing and Communication (ISAC) will allow 6G networks to provide both sensing and communication services through shared infrastructure and spectrum resources. However,…

cs.NI2026

GeoRIS: Geofencing With Reconfigurable Intelligent Surfaces

André Gomes, Arthur S. de Sena, Luiz A. DaSilva +1

Geofencing refers to controlling the availability of wireless services within a network perimeter. In this paper, we study how RIS can be used to achieve geofencing in outdoor-to-i…

eess.SY2026

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…

cs.NI2026

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…

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…