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ORANUS: Latency-tailored Orchestration via Stochastic Network Calculus in 6G O-RAN

Oscar Adamuz-Hinojosa, Lanfranco Zanzi, Vincenzo Sciancalepore, Andres Garcia-Saavedra, Xavier Costa-Pérez

TL;DR

ORANUS introduces an SNC-based framework for O-RAN that enables latency-tailored, multi-time-scale radio resource orchestration for multiple uRLLC services. A near-RT SNC-based controller computes guaranteed per-service RB allocations to satisfy target violation probabilities, while a RT control loop dynamically adapts resources based on observed traffic anomalies and queue states. The framework integrates Traffic, Cell Capacity, and Utilization estimators with an MDN-driven probabilistic RB utilization model to solve a multi-service orchestration problem, and employs EDF-based reallocation to maintain low delay violations. Extensive simulations demonstrate that ORANUS markedly reduces violation probabilities compared with reference solutions, validating the practical viability of SNC-driven, multi-service orchestration in 6G O-RAN deployments.

Abstract

The Open Radio Access Network (O-RAN)-compliant solutions lack crucial details to perform effective control loops at multiple time scales. In this vein, we propose ORANUS, an O-RAN-compliant mathematical framework to allocate radio resources to multiple ultra Reliable Low Latency Communication (uRLLC) services. In the near-RT control loop, ORANUS relies on a novel Stochastic Network Calculus (SNC)-based model to compute the amount of guaranteed radio resources for each uRLLC service. Unlike traditional approaches as queueing theory, the SNC-based model allows ORANUS to ensure the probability the packet transmission delay exceeds a budget, i.e., the violation probability, is below a target tolerance. ORANUS also utilizes a RT control loop to monitor service transmission queues, dynamically adjusting the guaranteed radio resources based on detected traffic anomalies. To the best of our knowledge, ORANUS is the first O-RAN-compliant solution which benefits from SNC to carry out near-RT and RT control loops. Simulation results show that ORANUS significantly improves over reference solutions, with an average violation probability 10x lower.

ORANUS: Latency-tailored Orchestration via Stochastic Network Calculus in 6G O-RAN

TL;DR

ORANUS introduces an SNC-based framework for O-RAN that enables latency-tailored, multi-time-scale radio resource orchestration for multiple uRLLC services. A near-RT SNC-based controller computes guaranteed per-service RB allocations to satisfy target violation probabilities, while a RT control loop dynamically adapts resources based on observed traffic anomalies and queue states. The framework integrates Traffic, Cell Capacity, and Utilization estimators with an MDN-driven probabilistic RB utilization model to solve a multi-service orchestration problem, and employs EDF-based reallocation to maintain low delay violations. Extensive simulations demonstrate that ORANUS markedly reduces violation probabilities compared with reference solutions, validating the practical viability of SNC-driven, multi-service orchestration in 6G O-RAN deployments.

Abstract

The Open Radio Access Network (O-RAN)-compliant solutions lack crucial details to perform effective control loops at multiple time scales. In this vein, we propose ORANUS, an O-RAN-compliant mathematical framework to allocate radio resources to multiple ultra Reliable Low Latency Communication (uRLLC) services. In the near-RT control loop, ORANUS relies on a novel Stochastic Network Calculus (SNC)-based model to compute the amount of guaranteed radio resources for each uRLLC service. Unlike traditional approaches as queueing theory, the SNC-based model allows ORANUS to ensure the probability the packet transmission delay exceeds a budget, i.e., the violation probability, is below a target tolerance. ORANUS also utilizes a RT control loop to monitor service transmission queues, dynamically adjusting the guaranteed radio resources based on detected traffic anomalies. To the best of our knowledge, ORANUS is the first O-RAN-compliant solution which benefits from SNC to carry out near-RT and RT control loops. Simulation results show that ORANUS significantly improves over reference solutions, with an average violation probability 10x lower.
Paper Structure (20 sections, 17 equations, 9 figures, 1 table, 3 algorithms)

This paper contains 20 sections, 17 equations, 9 figures, 1 table, 3 algorithms.

Table of Contents

  1. Introduction
  2. The ORANUS Framework
  3. Latency Model based on SNC
  4. Fundamentals on SNC
  5. SNC Steps to Compute the Delay Bound
  6. uRLLC Traffic Model
  7. Service Model
  8. Delay Bound Estimation
  9. Control Loops of ORANUS
  10. Computation of the Cell Capacity Samples
  11. Mixture Density Networks for estimating the RB utilization
  12. Near-RT Control Loop
  13. RT Control Loop
  14. Performance Evaluation
  15. Validation of SNC model
  16. ...and 5 more sections

Figures (9)

  • Figure 1: Integration of ORANUS (i.e., green blocks) in the O-RAN architecture.
  • Figure 2: Overview of the considered Mixture Density Network (MDN).
  • Figure 3: Transitions of the finite-state machine to control the allocation for service $m$.
  • Figure 4: PMFs of incoming bits from FALCON traces.
  • Figure 5: Validation SNC-based model.
  • ...and 4 more figures