The addition of redundancy is a promising solution to achieve a certain quality of service (QoS) for ultra-reliable low-latency communications (URLLC) in challenging fast fading scenarios. However, adding more and more redundancy to the transmission results in severely increased radio resource consumption. Monitoring and prediction of fast fading channels can serve as the foundation of advanced scheduling. By choosing suitable resources for transmission, the resource consumption is reduced while maintaining the QoS. In this article, we present outage prediction approaches for Rayleigh and Rician fading channels. Appropriate performance metrics are introduced to show the suitability for URLLC radio resource scheduling. Outage prediction in the Rayleigh fading case can be achieved by adding a threshold comparison to state-of-the-art fading prediction approaches. A line-of-sight (LOS) component estimator is introduced that enables outage prediction in LOS scenarios. Extensive simulations have shown that under realistic conditions, effective outage probabilities of \(10^{-5}\) can be achieved while reaching up-state prediction probabilities of more than \({90}{\%}\). We show that the predictor can be tuned to satisfy the desired trade-off between prediction reliability and utilizability of the link. This enables our predictor to be used in future scheduling strategies, which achieve the challenging QoS of URLLC with fewer required redundancy.

在具有挑战性的快速衰落场景中，添加冗余是一种有前途的解决方案，可为超可靠的低延迟通信（URLLC）实现一定的服务质量（QoS）。但是，为传输增加越来越多的冗余会严重增加无线电资源的消耗。快速衰落信道的监视和预测可以作为高级调度的基础。通过选择合适的资源进行传输，可以在保持QoS的同时减少资源消耗。在本文中，我们介绍了瑞利和里斯衰落信道的中断预测方法。引入了适当的性能指标以显示URLLC无线电资源调度的适用性。瑞利衰落情况下的中断预测可以通过将阈值比较添加到最新的衰落预测方法中来实现。引入了视线（LOS）组件估计器，该估计器可在LOS场景中进行中断预测。大量的模拟表明，在实际条件下，有效的中断概率为可以达到\（10 ^ {-5} \）的状态预测概率大于\（{90} {\％} \）。我们表明，可以对预测变量进行调整以满足预测可靠性和链接的可利用性之间的所需折衷。这使我们的预测器可用于将来的调度策略，从而以更少的所需冗余实现具有挑战性的URLLC QoS。