  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.
