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

10 Citations (Scopus)
479 Downloads (Pure)


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
Publication date1 Apr 2019
Article number8746407
ISBN (Print)978-1-7281-1218-3
ISBN (Electronic)978-1-7281-1217-6
Publication statusPublished - 1 Apr 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


  • 5G NR
  • Packet scheduling

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