Schwarzinger, P., Fastenbauer, A., Eller, L., Svoboda, P., & Rupp, M. (2024). A Data-Based Cell Load Model for Efficient Network Simulation. In 2024 International Symposium ELMAR (pp. 61–64). https://doi.org/10.1109/ELMAR62909.2024.10694634
5G; 6G; campus networks; non-public networks; monitoring data
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Abstract:
Campus networks are shown to be able to offer service guarantees for specific user groups. However, investigations on the user throughput of campus users are missing in literature. In order to fill this gap, an efficient cell load model is developed. For this, we verify an existing model for the number of connected users to a cell in a mobile network. We then use previously proposed cell load models, in combination with the generation of the number of connected users, to offer an computationally efficient way to generate realistic cell load values. With the cell load model, simulations are performed showing that a campus cell can increase the user throughput compared to the public network if the campus cell transmit power is sufficiently high.
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Project title:
Christian Doppler Labor für Digitale Zwillinge mit integrierter KI für nachhaltigen Funkzugang: 01 (Christian Doppler Forschungsgesells)