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

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Resumé

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.

OriginalsprogEngelsk
Titel2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
Antal sider6
ForlagIEEE
Publikationsdato1 apr. 2019
Artikelnummer8746407
ISBN (Trykt)978-1-7281-1218-3
ISBN (Elektronisk)978-1-7281-1217-6
DOI
StatusUdgivet - 1 apr. 2019
Begivenhed2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) - Kuala Lumpur, Malaysia
Varighed: 28 apr. 20191 maj 2019
http://www.ieeevtc.org/vtc2019spring/

Konference

Konference2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
LandMalaysia
ByKuala Lumpur
Periode28/04/201901/05/2019
Internetadresse
NavnI E E E V T S Vehicular Technology Conference. Proceedings
ISSN1550-2252

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Scheduling algorithms
Scheduling
Telecommunication traffic
Resource allocation
Communication
Simulators
Throughput

Citer dette

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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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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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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. I 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