TY - JOUR
T1 - Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction
AU - Cohen, Kfir M.
AU - Park, Sangwoo
AU - Simeone, Osvaldo
AU - Popovski, Petar
AU - Shamai, Shlomo
N1 - Funding Information:
The work of Kfir M. Cohen, Sangwoo Park, and Osvaldo Simeone was supported by the European Research Council (ERC) through European Union's Horizon 2020 Research and Innovation Programme under Grant 725731. The work of Osvaldo Simeone was supported by an Open Fellowship of the EPSRC under Grant EP/W024101/1. The work of Petar Popovski was supported by the Villum Investigator Grant WATER from the Velux Foundation, Denmark. The work of Osvaldo Simeone and Petar Popovski was supported by the European Union's Horizon Europe Project CENTRIC under Grant 101096379. The work of Shlomo Shamai was supported by the European Union's Horizon 2020 Research And Innovation Programme under Grant 694630.
Publisher Copyright:
© 1994-2012 IEEE.
PY - 2023
Y1 - 2023
N2 - The dynamic scheduling of ultra-reliable and low-latency communication 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 letter, 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.
AB - The dynamic scheduling of ultra-reliable and low-latency communication 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 letter, 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.
UR - http://www.scopus.com/inward/record.url?scp=85153390389&partnerID=8YFLogxK
U2 - 10.1109/LSP.2023.3264939
DO - 10.1109/LSP.2023.3264939
M3 - Article
SN - 1070-9908
VL - 30
SP - 473
EP - 477
JO - IEEE SIGNAL PROCESSING LETTERS
JF - IEEE SIGNAL PROCESSING LETTERS
ER -