Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction-Reference-Cited by-同舟云学术

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Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction

Published:2023 Issue: Volume:30 Page:473-477
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Cohen Kfir M.¹^ORCID,Park Sangwoo¹^ORCID,Simeone Osvaldo¹^ORCID,Popovski Petar²^ORCID,Shamai Shlomo³^ORCID

Affiliation:

1. KCLIP Lab, Department of Engineering, King's College London, London, U.K.

2. Department of Electronic Systems, Aalborg University, Aalborg, Denmark

3. Viterbi Faculty of Electrical and Computing Engineering, Technion–Israel Institute of Technology, Haifa, Israel

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/10036333/10093058.pdf?arnumber=10093058

Reference38 articles.

1. Slicing Resource Allocation for eMBB and URLLC in 5G RAN

2. A new scheduler for URLLC in 5G NR IIoT networks with spatio-temporal traffic correlations;cavallero;Proc IEEE Int Conf Commun,0

3. Resource Allocation and HARQ Optimization for URLLC Traffic in 5G Wireless Networks

4. Non-Orthogonal Multiplexing of Ultra-Reliable and Broadband Services in Fog-Radio Architectures

5. Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach

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