A Downlink Resource Scheduling Strategy for URLLC Traffic

Shashi Raj Pandey, Madyan Alsenwi, Yan Kyaw Tun, Choong Seon Hong

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33 Citationer (Scopus)

Abstract

In this paper, we propose a dynamic resource scheduling of URLLC (Ultra-reliable low latency communication) and eMBB (Enhanced mobile broadband) services for the downlink in 5G networks. The eMBB traffic is characterized with the high bandwidth network services such as web browsing, video streaming, augmented realiy, and the URLLC services require sub-millisecond latency with low error rates (e.g., autonomous driving and remote surgery). Therefore, we aim to formalize a resource scheduling over a time-slot having multiplexed eMBB and URLLC traffic with the objective to protect eMBB users while maintaining URLLC stringent latency requirements. For this purpose, to guarantee minimum latency, we allow puncturing technique for URLLC traffic over the scheduled resources, and study the sequential scheduling scenario for the preempted eMBB users in the next time-slot. The simulations result show the efficacy of proposed dynamic scheduling method, and gain in priority based scheduling.

OriginalsprogEngelsk
Titel2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings
ForlagIEEE Signal Processing Society
Publikationsdato27 feb. 2019
Artikelnummer8679266
ISBN (Elektronisk)9781538677896
DOI
StatusUdgivet - 27 feb. 2019
Udgivet eksterntJa
Begivenhed2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Kyoto, Japan
Varighed: 27 feb. 20192 mar. 2019

Konference

Konference2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019
Land/OmrådeJapan
ByKyoto
Periode27/02/201902/03/2019
SponsorIEEE, Korean Institute of Information Scientists and Engineers (KIISE)
Navn2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings

Bibliografisk note

Publisher Copyright:
© 2019 IEEE.

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