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

Ali Abdul-Mawgood Ali Ali Esswie, Klaus Ingemann Pedersen, Preben Elgaard Mogensen

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

2 Citations (Scopus)
333 Downloads (Pure)


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
Publication date27 Jun 2019
Article number8746364
ISBN (Print)978-1-7281-1218-3
ISBN (Electronic)978-1-7281-1217-6
Publication statusPublished - 27 Jun 2019
Event2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) - Kuala Lumpur, Malaysia
Duration: 28 Apr 20191 May 2019


Conference2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring)
CityKuala Lumpur
Internet address
SeriesI E E E V T S Vehicular Technology Conference. Proceedings


  • eMBB
  • 5G
  • New radio
  • Preemptive
  • Scheduling

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