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：在上行链路中动态地安排超可靠和低时空交通(URLLC),仅通过在必要时调拨资源,就可以大大提高诸如增强移动宽带装置等共存服务的效率,主要挑战在于URLLC软件包生成过程中的不确定性,其中要求使用预测器在即将到来的框架中使用URLC软件包。在实践中,这种预测可能会高估或低估所生成的URLC数据量,从而产生过多或不足的资源,可先发制人地分配给URLC软件包。在本文件中,我们为URLLC软件包引入了新的时间表,不论URLC通信预测器的质量如何,都对可靠性和持久性提供正式保证。拟议方法利用了网上一致性预测的最新进展,并遵循了动态调整所分配资源量的原则,以满足设计者确定的可靠性和延时要求。