Modeling energy consumption of 5g networks using the Monte Carlo method
Students Name: Pyk Roman Tarasovych
Qualification Level: magister
Speciality: Informatively-Instrumentation Technologies in Roboticotekhnic
Institute: Institute of Computer Technologies, Automation and Metrology
Mode of Study: full
Academic Year: 2025-2026 н.р.
Language of Defence: ukrainian
Abstract: The rapid growth of mobile data traffic and the deployment of 5G technology impose increased requirements on the energy efficiency of next-generation wireless networks. Multi-tier heterogeneous 5G networks composed of macro-, micro-, and small cells exhibit a complex structure, which complicates their modeling and optimization in terms of energy consumption. This diploma thesis addresses the problem of modeling the energy consumption of multi-tier heterogeneous 5G radio networks. The Monte Carlo method is employed to account for randomness and heterogeneity in the input parameters, providing a more accurate representation of real network operating conditions. In this work, samples of random variables following normal and uniform distributions are generated, with the choice of these distributions justified by their wide applicability and realism in many practical scenarios. The obtained results are presented in the form of plots and histograms and can be useful for the design and optimization of heterogeneous 5G radio access networks.