With the continuous development of the 5th Generation Mobile Communication Technology (5G), various forms and demands of the Internet of Things (IoT) business have emerged. There are high requirements about the latency and reliability in some IoT services, especially for the ultra reliable low latency Communication (URLLC) services of IoT. One important factor for URLLC is time-frequency resource allocation. In this paper, a joint delay and channel quality based proportional fair scheduling (JDCPF) algorithm is proposed, which considers scheduling delay and channel conditions to calculate scheduling priorities for different IoT services with different communication requirements. Moreover, an adjustment factor is introduced based on the latency sensitivity of different services. According to the provided simulation results, the proposed JDCPF algorithm effectively could help to reduce the scheduling latency for latency-sensitive services.


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    Titel :

    Resource Scheduling Algorithm for Delay Sensitive Service in IoT Scenarios


    Beteiligte:
    Chen, Hua-Min (Autor:in) / Zhao, Xinqi (Autor:in) / Li, Meihui (Autor:in) / Chen, Tao (Autor:in) / Fang, Chao (Autor:in) / Wang, Shoufeng (Autor:in) / Lin, Shaofu (Autor:in) / Li, Fan (Autor:in)


    Erscheinungsdatum :

    2023-10-10


    Format / Umfang :

    978157 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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