MIMO Simulation in 5G Networks: Py5cheSim and DeepMIMO Integration.

This article describes the integration of two software tools: Py5cheSim and DeepMIMO. The former is a Pythonbased 5G mobile network simulator specifically designed for resource allocation algorithm evaluation. It stands out as one of the few open-source simulators capable of emulating network slicing at the radio resource level, allowing the assessment of resource allocation algorithms at both slice and user levels within them. On the other hand, DeepMIMO is a data generator for mmWave/massive MIMO channels. The main contribution of this work is the integration of both systems, allowing the simulation of realistic scenarios in 5G networks. As a result of this integration, a new version of Py5cheSim was obtained. Leveraging the advantages of Py5cheSim's implementation for new resource allocation algorithms, a new MIMO-based algorithm was incorporated into the tool (functionality that was only rudimentarily supported in Py5cheSim v1.0). It is worth noting that this new development is fully compatible with the previous version of the base network simulator, ensuring easy adoption of the new features by the community. The obtained results demonstrate a significant improvement in simulation accuracy and a greater capacity to represent the challenges of 5G networks in real scenarios.