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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:


    Publication date :

    2019-04-01


    Size :

    279225 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Cooperative UAV-Assisted Joint Scheduling of Coexisting URLLC and eMBB Services

    Wang, Yuying / Li, Xi / Ji, Hong et al. | Springer Verlag | 2023


    On-Demand Multiplexing of eMBB/URLLC Traffic in a Multi-UAV Relay Network

    Tian, Mengqiu / Li, Changle / Hui, Yilong et al. | IEEE | 2024



    Admission Control in 5G Networks for the Coexistence of eMBB-URLLC Users

    Ginige, Nipuni Uthpala / Shashika Manosha, K. B. / Rajatheva, Nandana et al. | IEEE | 2020


    System Level Analysis of eMBB and Grant-Free URLLC Multiplexing in Uplink

    Abreu, Renato / Jacobsen, Thomas / Pedersen, Klaus et al. | IEEE | 2019