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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    Title :

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


    Contributors:


    Publication date :

    2019-09-01


    Size :

    199229 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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