output
20132026
most citedA Tutorial on 5G NR V2X Communications

953 citations

82 papers

cs.LG2026

Foundation Models for Generalizable Semantic and Goal-Oriented Communication

Boliang Liu, Wint Yi Poe, Riccardo Trivisonno +1

Semantic and goal-oriented communication is increasingly studied for 6G, but generalization beyond seen data remains a key weakness under tight rate budgets. Many existing systems…

cs.CR2026

Switching Coordinator: An SDN Application for Flexible QKD-Networks

Rubén B. Mendez, Hans H. Brunner, Juan P. Brito +8

A monitor and control framework for quantum-key-distribution (QKD) networks equipped with switching capabilities was developed. On the one hand, this framework provides real-time v…

cs.NI2026★ 2 cited

Exploiting Repetitions and Interference Cancellation for the 6G-V2X Sidelink Autonomous Mode

Alessandro Bazzi, Vittorio Todisco, Antonella Molinaro +3

In recent years, the Third Generation Partnership Project (3GPP) has developed the new radio-vehicle-to-everything (NR-V2X) sidelink standard, to enable direct communication betwee…

cs.NI2026

GreenFLag: A Green Agentic Approach for Energy-Efficient Federated Learning

Theodora Panagea, Nikolaos Koursioumpas, Lina Magoula +1

Progressing toward a new generation of mobile networks, a clear focus on integrating distributed intelligence across the system is observed to drive performance, autonomy, and real…

cs.RO2025★ 7 cited

Indoor Positioning Based on Active Radar Sensing and Passive Reflectors: Reflector Placement Optimization

Sven Hinderer, Pascal Schlachter, Zhibin Yu +2

We extend our work on a novel indoor positioning system (IPS) for autonomous mobile robots (AMRs) based on radar sensing of local, passive radar reflectors. Through the combination…

cs.LG2025

Assessing Trustworthiness of AI Training Dataset using Subjective Logic -- A Use Case on Bias

Koffi Ismael Ouattara, Ioannis Krontiris, Theo Dimitrakos +1

As AI systems increasingly rely on training data, assessing dataset trustworthiness has become critical, particularly for properties like fairness or bias that emerge at the datase…