Machine Learning for QoS-Aware Fairness of a D2D Network

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).