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).
Machine Learning for QoS-Aware Fairness of a D2D Network
2020-05-01
323242 byte
Conference paper
Electronic Resource
English
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Springer Verlag | 2022
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