The separation of channel coefficients in concurrent cooperative transmissions is a time-consuming operation. In this thesis project, we are going to explore the suitability of deep neural networks (DNNs) to speed up a specific PHY-related optimization task.


The goal of this project is to explore the suitability of DNNs to separate channel coefficients. The project main goals are:

  • Research the literature about the uses of DNNs in other optimization problems
  • Explore suitable DNN configurations for the envisioned task
  • Evaluate the DNN's performance in terms of accuracy and speed