A Downlink Resource Scheduling Strategy for URLLC Traffic

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

doi:10.1109/BIGCOMP.2019.8679266

A Downlink Resource Scheduling Strategy for URLLC Traffic

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

33 Citations (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.

Original language	English
Title of host publication	2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538677896
DOIs	https://doi.org/10.1109/BIGCOMP.2019.8679266
Publication status	Published - 1 Apr 2019
Event	2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Kyoto, Japan Duration: 27 Feb 2019 → 2 Mar 2019

Publication series

Name	2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings

Conference

Conference	2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019
Country/Territory	Japan
City	Kyoto
Period	27/02/19 → 2/03/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

5G New Radio (NR)
Gittins Index
URLLC
eMBB
resource scheduling

Access to Document

10.1109/BIGCOMP.2019.8679266

Cite this

Pandey, S. R., Alsenwi, M., Tun, Y. K., & Hong, C. S. (2019). A Downlink Resource Scheduling Strategy for URLLC Traffic. In 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings Article 8679266 (2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIGCOMP.2019.8679266

Pandey, Shashi Raj ; Alsenwi, Madyan ; Tun, Yan Kyaw et al. / A Downlink Resource Scheduling Strategy for URLLC Traffic. 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings).

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title = "A Downlink Resource Scheduling Strategy for URLLC Traffic",

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.",

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Pandey, SR, Alsenwi, M, Tun, YK & Hong, CS 2019, A Downlink Resource Scheduling Strategy for URLLC Traffic. in 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings., 8679266, 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019, Kyoto, Japan, 27/02/19. https://doi.org/10.1109/BIGCOMP.2019.8679266

A Downlink Resource Scheduling Strategy for URLLC Traffic. / Pandey, Shashi Raj; Alsenwi, Madyan; Tun, Yan Kyaw et al.
2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8679266 (2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Alsenwi, Madyan

AU - Tun, Yan Kyaw

AU - Hong, Choong Seon

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N2 - 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.

AB - 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.

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Pandey SR, Alsenwi M, Tun YK, Hong CS. A Downlink Resource Scheduling Strategy for URLLC Traffic. In 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8679266. (2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings). doi: 10.1109/BIGCOMP.2019.8679266

A Downlink Resource Scheduling Strategy for URLLC Traffic

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Keywords

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