Preemption-Aware Rank Offloading Scheduling For Latency Critical Communications in 5G Networks

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Abstract

This paper introduces a preemptive rank offloading scheduling framework for joint ultra-reliable low-latency communications (URLLC) and enhanced mobile broadband (eMBB) traffic in 5G new radio (NR). Proposed scheduler dynamically adapts the overall system optimization among the network-centric ergodic capacity and the user-centric URLLC one-way latency, based on the instantaneous traffic and radio resources availability. The spatial degrees of freedom, offered by the transmit antenna array, are fully exploited to maximize the overall spectral efficiency. However, when URLLC traffic buffering is foreseen, proposed scheduler immediately enforces scheduling pending URLLC payloads through preemption-aware subspace projection. Compared to the state-of-the-art schedulers from industry and academia, proposed scheduler framework shows significant scheduling flexibility in terms of the overall ergodic capacity and URLLC latency performance. The presented results therefore offer valuable insights of how to most efficiently multiplex joint URLLC-eMBB traffic over the 5G NR spectrum.
Original languageEnglish
Title of host publication2019 IEEE 89th Vehicular Technology Conference: VTC2019-Spring
Number of pages6
PublisherIEEE
Publication date27 Jun 2019
Article number8746364
ISBN (Print)978-1-7281-1218-3
ISBN (Electronic)978-1-7281-1217-6
DOIs
Publication statusPublished - 27 Jun 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
ISSN1090-3038

Fingerprint

Telecommunication traffic
Scheduling
Communication
Antenna arrays
Availability
Industry

Keywords

  • URLLC
  • eMBB
  • 5G
  • MU-MIMO
  • New radio
  • Preemptive
  • Scheduling

Cite this

Abdul-Mawgood Ali Ali Esswie, A., Pedersen, K. I., & Mogensen, P. E. (2019). Preemption-Aware Rank Offloading Scheduling For Latency Critical Communications in 5G Networks. In 2019 IEEE 89th Vehicular Technology Conference: VTC2019-Spring [8746364] IEEE. I E E E V T S Vehicular Technology Conference. Proceedings https://doi.org/10.1109/VTCSpring.2019.8746364
Abdul-Mawgood Ali Ali Esswie, Ali ; Pedersen, Klaus Ingemann ; Mogensen, Preben Elgaard. / Preemption-Aware Rank Offloading Scheduling For Latency Critical Communications in 5G Networks. 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 = "This paper introduces a preemptive rank offloading scheduling framework for joint ultra-reliable low-latency communications (URLLC) and enhanced mobile broadband (eMBB) traffic in 5G new radio (NR). Proposed scheduler dynamically adapts the overall system optimization among the network-centric ergodic capacity and the user-centric URLLC one-way latency, based on the instantaneous traffic and radio resources availability. The spatial degrees of freedom, offered by the transmit antenna array, are fully exploited to maximize the overall spectral efficiency. However, when URLLC traffic buffering is foreseen, proposed scheduler immediately enforces scheduling pending URLLC payloads through preemption-aware subspace projection. Compared to the state-of-the-art schedulers from industry and academia, proposed scheduler framework shows significant scheduling flexibility in terms of the overall ergodic capacity and URLLC latency performance. The presented results therefore offer valuable insights of how to most efficiently multiplex joint URLLC-eMBB traffic over the 5G NR spectrum.",
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Abdul-Mawgood Ali Ali Esswie, A, Pedersen, KI & Mogensen, PE 2019, Preemption-Aware Rank Offloading Scheduling For Latency Critical Communications in 5G Networks. in 2019 IEEE 89th Vehicular Technology Conference: VTC2019-Spring., 8746364, 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.2019.8746364

Preemption-Aware Rank Offloading Scheduling For Latency Critical Communications in 5G Networks. / Abdul-Mawgood Ali Ali Esswie, Ali; Pedersen, Klaus Ingemann; Mogensen, Preben Elgaard.

2019 IEEE 89th Vehicular Technology Conference: VTC2019-Spring. IEEE, 2019. 8746364 (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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AB - This paper introduces a preemptive rank offloading scheduling framework for joint ultra-reliable low-latency communications (URLLC) and enhanced mobile broadband (eMBB) traffic in 5G new radio (NR). Proposed scheduler dynamically adapts the overall system optimization among the network-centric ergodic capacity and the user-centric URLLC one-way latency, based on the instantaneous traffic and radio resources availability. The spatial degrees of freedom, offered by the transmit antenna array, are fully exploited to maximize the overall spectral efficiency. However, when URLLC traffic buffering is foreseen, proposed scheduler immediately enforces scheduling pending URLLC payloads through preemption-aware subspace projection. Compared to the state-of-the-art schedulers from industry and academia, proposed scheduler framework shows significant scheduling flexibility in terms of the overall ergodic capacity and URLLC latency performance. The presented results therefore offer valuable insights of how to most efficiently multiplex joint URLLC-eMBB traffic over the 5G NR spectrum.

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Abdul-Mawgood Ali Ali Esswie A, Pedersen KI, Mogensen PE. Preemption-Aware Rank Offloading Scheduling For Latency Critical Communications in 5G Networks. In 2019 IEEE 89th Vehicular Technology Conference: VTC2019-Spring. IEEE. 2019. 8746364. (I E E E V T S Vehicular Technology Conference. Proceedings). https://doi.org/10.1109/VTCSpring.2019.8746364