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