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MAREA: A Delay-Aware Multi-time-Scale Radio Resource Orchestrator for 6G O-RAN

[PDF] marea_postprint.pdf (1.769Mb)
Identificadores
URI: https://hdl.handle.net/10481/106433
DOI: 10.1109/TCOMM.2025.3552296
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Author
Adamuz Hinojosa, Óscar Ramón; Zanzi, Lanfranco; Sciancalepore, Vincenzo; Costa Pérez, Xavier
Editorial
IEEE
Materia
Multi-scale-time
 
O-RAN
 
Real-Time RIC
 
Date
2025
Referencia bibliográfica
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
Sponsorship
MICIU/AEI/10.13039/501100011033 PID2022-137329OB-C43; Spanish Government TSI-063000-2021-28 (6G-CHRONOS); NextGenerationEU; SNS JU Project 6G-GOALS (GA no. 101139232)
Abstract
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.
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