发表机构
University of Technology Sydney（悉尼科技大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究评估Jev模型在6G边缘网络意图驱动服务编排中的决策性能，通过缓存解释与数值调度结合，显著降低决策延迟并提升服务完成率，验证了快速意图决策对及时服务执行的有效性。
AI 中文摘要
为第六代（6G）边缘网络设想的意图驱动服务必须在无线请求持续到达的同时，将不断变化的需求转化为可执行的契约。解释过程与传输、排队和执行共享同一截止期限预算的一部分。我们评估Jev作为该阶段的决策模型，探究更快的契约激活是否能在保持解释质量的同时提升服务的及时性。契约规定了允许的执行位置、截止期限和优先级；一个数值调度器利用这些信息来分配边缘工作负载。该评估结合了实时Jev、DeepSeek、Gemini和自托管Qwen的响应，以及分组级新无线电（New Radio）仿真、移动性事件、共享边缘队列和一个真实的图像读取服务。带有数值调度的缓存解释在完成率上显著优于直接由模型选择放置的方式。在所有评估契约上解释正确的情况下，Jev相比DeepSeek将中位决策延迟降低了22.4%，相比Gemini降低了61.9%；在建模的更新场景中，完成率分别提升了3.50和8.35个百分点。与直接属性Qwen的单独比较保持了53.0%的延迟降低和4.78个百分点的完成率提升。交换记录的模型和调度等待时间，可以在两个建模比较中的每一个中，重现所有12条轨迹的比较器完成摘要。在真实图像服务中，Jev保持了更快的决策，并在各1080个请求中正确且按时完成了459个，而DeepSeek为463个，Qwen为435个。这些发现将快速的意图决策与及时的边缘服务执行联系起来，并支持在契约激活时使用Jev，由数值调度器根据当前网络和计算状态调整放置。
英文摘要
Intent-based Open RAN needs an interpreter that turns intents into A1 policies within the loop of the RAN intelligent controller (RIC). Decision models such as Jev-1.13.0 return typed policy fields, whereas generative large language models (LLMs) produce the policy token by token. We ask whether the extra delay of LLMs costs control deadlines, RIC capacity, or radio performance. We compare Jev-1.13.0 and two other decision models with LLMs on the RANIntent v1 benchmark, in closed-loop ns-3 simulation and on a real A1 and E2 path. Median interpretation takes 0.286 to 2.35 s, against under 25 ms for A1 and E2 transfer. Jev-1.13.0 meets the 1 s near-real-time budget on 99.8% of calls, while two hosted LLMs meet it on 17.9% and 0%. In the radio network, ideal enforcement moves the affected-class service-level agreement (SLA) violation by 3.96 percentage points in the direction each intent requests, against no update at the base point. No hosted LLM showed a resolved increase over Jev-1.13.0 at that point. At the same point, per-second direct control gave no resolved SLA reduction over a numerical xApp. Slow interpreters miss the 1 s budget, and two interpreters saturate their queues at 2 intents/s, whereas no radio penalty of slow interpreters was resolved at the base point.
Comments23 pages, 8 figures, 15 tables
