In this paper, we propose an optimization method for resource and numerology allocation in multi-user scenarios. We focus on the achievement of packet latency constraints in low latency communications as one of the fundamental service requirements in 5G. We consider two groups of users: low latency users that impose a latency constraint and conventional, non-low latency users that do not impose a latency constraint. Furthermore, we consider users with varying channel conditions characterized by their delay and Doppler spread. Additionally, our optimization includes the effects of channel estimation and inter-numerology interference. The optimization problem is formulated as a multiscenario max-min Knapsack problem and it is given by an integer programming solution.


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    Titel :

    Multi-User Resource Allocation for Low Latency Communications Based on Mixed Numerology


    Beteiligte:


    Erscheinungsdatum :

    01.09.2019


    Format / Umfang :

    199229 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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