PyLTEs — Python LTE evaluation framework for quick and reliable network optimization

Abstract

In this paper we present the Python LTE Software (PyLTEs), which is a open-source framework for performance evaluation and optimization of the configuration of LTE networks deployment. It allows to define the geographic location of cells, eNodeB configuration such as e.g. TX Power and spatial distribution of the clients. The soft-frequency reuse schemes are supported, as well as different schedulers and signal propagation models. The framework implements a number of optimization methods to find the best network configuration for a given parameters. We show several examples of practical application of the described framework, as well as evaluation of its accuracy by a comparison to real life measurements.