In the quickly changing environment such as IoT, it is highly desirable to design a QoS-aware strategy to allocate the transmission power. In this paper, we apply the machine learning (ML) methodology to solve such a problem for a D2D network where the nodes are distributed following the conditional Poisson point process (PPP). The training is conducted in the feed-forward neural network (FNN).


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    Title :

    Machine Learning for QoS-Aware Fairness of a D2D Network


    Contributors:


    Publication date :

    2020-05-01


    Size :

    323242 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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