ORANUS: Latency-tailored Orchestration via Stochastic Network Calculus in 6G O-RAN
CoRR(2024)
摘要
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.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要