MAREA: A Delay-Aware Multi-time-Scale Radio Resource Orchestrator for 6G O-RAN
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866915199674482688 |
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| author | Adamuz-Hinojosa, Oscar Zanzi, Lanfranco Sciancalepore, Vincenzo Costa-Pérez, Xavier |
| author_facet | Adamuz-Hinojosa, Oscar Zanzi, Lanfranco Sciancalepore, Vincenzo Costa-Pérez, Xavier |
| contents | 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.
Additionally, MAREA uses a real-time control loop to monitor transmission queues and dynamically adjust guaranteed radio resources in response to traffic anomalies. To the best of our knowledge, MAREA is the first O-RAN-compliant solution that leverages Martingales for both near-RT and RT control loops. Simulations demonstrate that MAREA significantly outperforms reference solutions, achieving an average violation probability that is x10 lower. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_08599 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | MAREA: A Delay-Aware Multi-time-Scale Radio Resource Orchestrator for 6G O-RAN Adamuz-Hinojosa, Oscar Zanzi, Lanfranco Sciancalepore, Vincenzo Costa-Pérez, Xavier Networking and Internet Architecture 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. Additionally, MAREA uses a real-time control loop to monitor transmission queues and dynamically adjust guaranteed radio resources in response to traffic anomalies. To the best of our knowledge, MAREA is the first O-RAN-compliant solution that leverages Martingales for both near-RT and RT control loops. Simulations demonstrate that MAREA significantly outperforms reference solutions, achieving an average violation probability that is x10 lower. |
| title | MAREA: A Delay-Aware Multi-time-Scale Radio Resource Orchestrator for 6G O-RAN |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2503.08599 |