The dynamic scheduling of ultra-reliable and low-latency traffic (URLLC) in the uplink can significantly enhance the efficiency of coexisting services, such as enhanced mobile broadband (eMBB) devices, by only allocating resources when necessary. The main challenge is posed by the uncertainty in the process of URLLC packet generation, which mandates the use of predictors for URLLC traffic in the coming frames. In practice, such prediction may overestimate or underestimate the amount of URLLC data to be generated, yielding either an excessive or an insufficient amount of resources to be pre-emptively allocated for URLLC packets. In this paper, we introduce a novel scheduler for URLLC packets that provides formal guarantees on reliability and latency irrespective of the quality of the URLLC traffic predictor. The proposed method leverages recent advances in online conformal prediction (CP), and follows the principle of dynamically adjusting the amount of allocated resources so as to meet reliability and latency requirements set by the designer.

翻译：上行链路中超可靠低延迟流量（URLLC）的动态调度可通过仅在必要时分配资源，显著提升共存业务（如增强型移动宽带（eMBB）设备）的效率。其主要挑战在于URLLC数据包生成过程中的不确定性，这要求对未来帧中的URLLC流量进行预测。实践中，此类预测可能高估或低估待生成的URLLC数据量，从而导致为URLLC数据包预分配的资源过多或不足。本文提出一种全新的URLLC数据包调度器，无论URLLC流量预测器的质量如何，该调度器均能提供可靠性和延迟的正式保障。该方法利用在线共形预测（CP）的最新进展，遵循动态调整资源分配量的原则，以满足设计者设定的可靠性和延迟要求。