Efficient Low Complexity Packet Scheduling Algorithm for Mixed URLLC and eMBB Traffic in 5G

Ali Karimidehkordi, Klaus Ingemann Pedersen, Nurul Huda Mahmood, Guillermo Andrés Pocovi Gerardino, Preben E. Mogensen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Abstract

We address the problem of resource allocation and packet scheduling for a mixture of ultra- reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) traffic in a fifth generation New Radio (5G NR) networks. A novel resource allocation method is presented that is latency, control channel, hybrid automatic repeat request (HARQ), and radio channel aware in determining the transmission resources for different users. This is of high importance for the scheduling of URLLC users in order to minimize their latency, avoid unnecessary costly segmentation of URLLC payloads over multiple transmissions, and benefit from radio channel aware multi-user diversity mechanisms. The performance of the proposed algorithm is evaluated with an advanced 5G NR compliant system level simulator with a high degree of realism. Simulation results show promising gains of up to 98% latency improvement for URLLC traffic and 12% eMBB end-user throughput enhancement as compared to conventional proportional fair scheduling.

Original languageEnglish
Title of host publication2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
Number of pages6
PublisherIEEE
Publication date1 Apr 2019
Article number8746407
ISBN (Print)978-1-7281-1218-3
ISBN (Electronic)978-1-7281-1217-6
DOIs
Publication statusPublished - 1 Apr 2019
Event2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) - Kuala Lumpur, Malaysia
Duration: 28 Apr 20191 May 2019
http://www.ieeevtc.org/vtc2019spring/

Conference

Conference2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
CountryMalaysia
CityKuala Lumpur
Period28/04/201901/05/2019
Internet address
SeriesI E E E V T S Vehicular Technology Conference. Proceedings
ISSN1550-2252

Fingerprint

Scheduling algorithms
Scheduling
Telecommunication traffic
Resource allocation
Communication
Simulators
Throughput

Keywords

  • 5G NR
  • Packet scheduling
  • URLLC

Cite this

Karimidehkordi, A., Pedersen, K. I., Mahmood, N. H., Gerardino, G. A. P., & E. Mogensen, P. (2019). Efficient Low Complexity Packet Scheduling Algorithm for Mixed URLLC and eMBB Traffic in 5G. In 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) [8746407] IEEE. I E E E V T S Vehicular Technology Conference. Proceedings https://doi.org/10.1109/VTCSpring.2019.8746407
Karimidehkordi, Ali ; Pedersen, Klaus Ingemann ; Mahmood, Nurul Huda ; Gerardino, Guillermo Andrés Pocovi ; E. Mogensen, Preben. / Efficient Low Complexity Packet Scheduling Algorithm for Mixed URLLC and eMBB Traffic in 5G. 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring). IEEE, 2019. (I E E E V T S Vehicular Technology Conference. Proceedings).
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abstract = "We address the problem of resource allocation and packet scheduling for a mixture of ultra- reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) traffic in a fifth generation New Radio (5G NR) networks. A novel resource allocation method is presented that is latency, control channel, hybrid automatic repeat request (HARQ), and radio channel aware in determining the transmission resources for different users. This is of high importance for the scheduling of URLLC users in order to minimize their latency, avoid unnecessary costly segmentation of URLLC payloads over multiple transmissions, and benefit from radio channel aware multi-user diversity mechanisms. The performance of the proposed algorithm is evaluated with an advanced 5G NR compliant system level simulator with a high degree of realism. Simulation results show promising gains of up to 98{\%} latency improvement for URLLC traffic and 12{\%} eMBB end-user throughput enhancement as compared to conventional proportional fair scheduling.",
keywords = "5G NR, Packet scheduling, URLLC",
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Karimidehkordi, A, Pedersen, KI, Mahmood, NH, Gerardino, GAP & E. Mogensen, P 2019, Efficient Low Complexity Packet Scheduling Algorithm for Mixed URLLC and eMBB Traffic in 5G. in 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)., 8746407, IEEE, I E E E V T S Vehicular Technology Conference. Proceedings, 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring), Kuala Lumpur, Malaysia, 28/04/2019. https://doi.org/10.1109/VTCSpring.2019.8746407

Efficient Low Complexity Packet Scheduling Algorithm for Mixed URLLC and eMBB Traffic in 5G. / Karimidehkordi, Ali; Pedersen, Klaus Ingemann; Mahmood, Nurul Huda; Gerardino, Guillermo Andrés Pocovi; E. Mogensen, Preben.

2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring). IEEE, 2019. 8746407 (I E E E V T S Vehicular Technology Conference. Proceedings).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Karimidehkordi A, Pedersen KI, Mahmood NH, Gerardino GAP, E. Mogensen P. Efficient Low Complexity Packet Scheduling Algorithm for Mixed URLLC and eMBB Traffic in 5G. In 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring). IEEE. 2019. 8746407. (I E E E V T S Vehicular Technology Conference. Proceedings). https://doi.org/10.1109/VTCSpring.2019.8746407