MAREA: A Delay-Aware Multi-time-Scale Radio Resource Orchestrator for 6G O-RAN Adamuz Hinojosa, Óscar Ramón Zanzi, Lanfranco Sciancalepore, Vincenzo Costa Pérez, Xavier Multi-scale-time O-RAN Real-Time RIC This work is part of grant PID2022-137329OB-C43 funded by MICIU/AEI/10.13039/501100011033. It has also been financially supported by the Ministry for Digital Transformation and of Civil Service of the Spanish Government through TSI-063000-2021-28 (6G-CHRONOS) project, and by the European Union through the Recovery, Transformation and Resilience Plan - NextGenerationEU, and in part by SNS JU Project 6G-GOALS (GA no. 101139232). The Open Radio Access Network (O-RAN)-compliant solutions often lack crucial details for implementing effective control loops at various time scales. To overcome this, we introduce MAREA, an O-RAN-compliant mathematical framework designed for the allocation of radio resources to multiple ultra-Reliable Low Latency Communication (uRLLC) services. In the near-real-time (RT) control loop, MAREA employs a novel Martingales-based model to determine the guaranteed radio resources for each uRLLC service. Unlike traditional queueing theory approaches, this model ensures that the probability of packet transmission delays exceeding a predefined threshold—the violation probability—remains below a target tolerance. 2025-09-18T10:30:35Z 2025-09-18T10:30:35Z 2025 journal article Published version: O. Adamuz-Hinojosa, L. Zanzi, V. Sciancalepore and X. Costa-Pérez, "MAREA: A Delay-Aware Multi-time-Scale Radio Resource Orchestrator for 6G O-RAN," IEEE Transactions on Communications, vol. x, pp. x, Mar. 2025, DOI: 10.1109/TCOMM.2025.3552296 https://hdl.handle.net/10481/106433 10.1109/TCOMM.2025.3552296 eng open access IEEE