2023/02/20 by Jean-Christophe Sibel, Sibel, Jean-Christophe, Nicolas Gresset +3
Computer Science · Engineering · #Advanced Wireless Network Optimization #FOS: Computer and information sciences #Information Theory (cs.IT) #Network Traffic and Congestion Control #Scheduling and Optimization Algorithms
paper · pdf · doi:10.48550/arxiv.2302.09926
openalex publication_date 2023/02/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We consider a multi-agent system where agents compete for the access to the radio resource. By combining some application-level parameters, such as the resilience, with a knowledge of the radio environment, we propose a new way of modeling the scheduling problem as an optimization problem. We design accordingly a low-complexity solver. The performance are compared with state-of-the-art schedulers via simulations. The numerical results show that this application-oriented scheduler performs better than standard schedulers. As a result, it offers more space for the selection of the application-level parameters to reach any arbitrary performance.