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

doi:10.1109/VTCSpring.2019.8746407

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 proceeding › Article in proceeding › Research › peer-review

41 Citations (Scopus)

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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 language	English
Title of host publication	2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
Number of pages	6
Publisher	IEEE
Publication date	1 Apr 2019
Article number	8746407
ISBN (Print)	978-1-7281-1218-3
ISBN (Electronic)	978-1-7281-1217-6
DOIs	https://doi.org/10.1109/VTCSpring.2019.8746407
Publication status	Published - 1 Apr 2019
Event	2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) - Kuala Lumpur, Malaysia Duration: 28 Apr 2019 → 1 May 2019 http://www.ieeevtc.org/vtc2019spring/

Conference

Conference	2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
Country/Territory	Malaysia
City	Kuala Lumpur
Period	28/04/2019 → 01/05/2019
Internet address	http://www.ieeevtc.org/vtc2019spring/

Series	I E E E V T S Vehicular Technology Conference. Proceedings
ISSN	1550-2252

Keywords

5G NR
Packet scheduling
URLLC

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Efficient Low Complexity Packet Scheduling Algorithm for Mixed URLLC and eMBB Traffic in 5GAccepted author manuscript, 324 KB

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title = "Efficient Low Complexity Packet Scheduling Algorithm for Mixed URLLC and eMBB Traffic in 5G",

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",

author = "Ali Karimidehkordi and Pedersen, {Klaus Ingemann} and Mahmood, {Nurul Huda} and Gerardino, {Guillermo Andr{\'e}s Pocovi} and {E. Mogensen}, Preben",

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booktitle = "2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)",

address = "United States",

note = "2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) ; Conference date: 28-04-2019 Through 01-05-2019",

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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 et al.
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 proceeding › Article in proceeding › Research › peer-review

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AU - Pedersen, Klaus Ingemann

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AU - Gerardino, Guillermo Andrés Pocovi

AU - E. Mogensen, Preben

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N2 - 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.

AB - 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.

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

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