vBerlinV2N: Recreating a Cellular Network Measurement Campaign With Simulations
System-level simulations play a crucial role in evaluating the behaviors of cellular networks, yet most studies rely on synthetic simulation scenarios rather than reproducing realistic network deployments. This paper presents <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">vBerlinV2N</i>, a system-level simulation model based on the network simulator 3 (ns-3) that replicates the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">BerlinV2N</i> measurement campaign conducted in a live Long Term Evolution (LTE) network. We describe the methodology for setting up and calibrating the simulation to match real-world observations, including network topology, radio conditions, and user mobility. We discuss the challenges of accurately recreating real deployments in simulations by identifying missing information in the public domain and limitations of ns-3. Furthermore, we generate a simulation dataset with <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">vBerlinV2N</i> that closely resembles the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">BerlinV2N</i> measurement dataset. A statistical evaluation of the measured and simulated datasets validates that the simulated <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">vBerlinV2N</i> dataset captures the essential statistical patterns of the measured <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">BerlinV2N</i> dataset. We analyze the distributions as well as the temporal and spatial variations of received signal quality metrics of the radio environments and compare the end-to-end throughput, delay, and handovers.
Authors
- Mauri Seidel
- Frank H. P. Fitzek (ORCID: https://orcid.org/0000-0001-8469-9573)
- Martin Reisslein (ORCID: https://orcid.org/0000-0003-1606-233X)
- Vincent Latzko (ORCID: https://orcid.org/0000-0003-2075-1648)
- Peter Sossalla (ORCID: https://orcid.org/0000-0003-1605-7581)
- Christian L. Vielhaus (ORCID: https://orcid.org/0000-0002-3965-7283)
- Alexander Groß (ORCID: https://orcid.org/0009-0004-7516-0479)
Institutions
- Audi (Germany) (DE)
- Deutsche Telekom (Germany) (DE)
- Arizona State University (US)
Publication Details
- Journal
- IEEE Access
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/access.2025.3588416
- Citations
- 1
- Primary Topic
- Advanced MIMO Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung