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论文对比了 Jev-1.13.0 等决策模型与大型语言模型在 6G Open RAN RIC 中解释网络意图并生成 A1 策略的性能:LLM 因延迟过高(中位 0.286–2.35 秒)几乎无法满足 1 秒近实时预算,而 Jev 在 99.8% 的调用中达标,且未显示出优于 Jev 的 SLA 改善。
The article presents a cost-effective method to reduce LLM tail latency in real-time applications by sending duplicate requests and selecting the faster response, outperforming paid priority tiers in production experiments.