Author

J. Márquez-Barja

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#artificial intelligence Preprint Oct 2026

Deadline-Aware Multi-Agent Reinforcement Learning for TSN-Based Vehicular Edge Networks

Vehicular edge computing (VEC) enables latency-sensitive applications by bringing computing and networking resources closer to vehicles. However, existing approaches often overlook network contention among co-located services with heterogeneous and dynamic latency requirements. While time-sensitive networking (TSN) pro...

Bernardo A. C. Pereira, Marcos Carvalho, Fatih Temiz et al. · 0 citations

#machine learning Preprint Sep 2026

HELENA for 5G NR LEO NTN Channel Estimation: A Comparative Evaluation

HELENA, originally designed for terrestrial channels, remains effective after NTN retraining and suitable across high-performance and power-constrained inference platforms, while embedded tail latency remains an open challenge.

Miguel Camelo Botero, Nina Slamnik-Kriještorac, J. Márquez-Barja · 0 citations

Conference Jul 2026

Programmable B5G Infrastructure for Vertical-Aware Slice Orchestration: Teleoperation in Dynamic 5G Environments

As 5G and Beyond networks increasingly expose programmable capabilities to vertical industries through standardized APIs such as CAMARA, new challenges emerge regarding efficient and reliable resource orchestration. In this paper we present a vertical-aware orchestration framework based on intelligent edge-deployed net...

Vincent Charpentier, Andreas Gavrielides, Miguel Camelo et al. · International Conference on... · 0 citations