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Luis J. de la Cruz Llopis

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Open access 2026

A Multi-Agent Reinforcement Learning Congestion Control Protocol for Wireless Networks

A multi-agent RL congestion control mechanism for WANETs is proposed, a traffic prioritization mechanism is introduced and, through simulations in diverse conditions, the solution is compared with existing ones, both in terms of performance and energy awareness.

Michail Vazaios, Luis J. de la Cruz Llopis, Juan Pablo Astudillo León et al. · 0 citations
Open access 2026

Deployment-Aware Multi-Objective Optimization of Machine Learning Models for Predictive Congestion Control in Multi-Hop Vehicular Networks

Results across heterogeneous urban scenarios show that the proposed framework improves vehicular communication performance in terms of packet delivery reliability and communication delay, while preserving competitive machine learning performance under deployment-oriented constraints.

Juan Pablo Astudillo León, Leticia Lemus Cárdenas, Luis J. de la Cruz Llopis et al. · 0 citations

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