HandoverOptimDRL

Framework for learning handover algorithms using deep reinforcement learning. This repo provides the codebase and results for [1].

Usage

• The Vienna 5G Simulator routes can be found in the folder routes as .csv files.
• The database used for the simulation is pre-stored in data_from_vienna. Use karlsruheScenario.m in the Vienna 5G Simulator to configure your scenario.
• Take these files to start the Python script main.py. Please don't forget to create an output folder and adjust the file paths.

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[1] Peter J. Gu, Johannes Voigt, and Peter M. Rost, "A Deep Reinforcement Learning-based Approach for Adaptive Handover Protocols in Mobile Networks"