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 vBerlinV2N, a system-level simulation model based on the network simulator...

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Main Authors: Christian L. Vielhaus, Mauri Seidel, Vincent Latzko, Alexander Grob, Peter Sossalla, Martin Reisslein, Frank H. P. Fitzek
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/11079589/
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author Christian L. Vielhaus
Mauri Seidel
Vincent Latzko
Alexander Grob
Peter Sossalla
Martin Reisslein
Frank H. P. Fitzek
author_facet Christian L. Vielhaus
Mauri Seidel
Vincent Latzko
Alexander Grob
Peter Sossalla
Martin Reisslein
Frank H. P. Fitzek
author_sort Christian L. Vielhaus
collection DOAJ
description 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 vBerlinV2N, a system-level simulation model based on the network simulator 3 (ns-3) that replicates the BerlinV2N measurement campaign conducted in a real-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 vBerlinV2N that closely resembles the BerlinV2N measurement dataset. A statistical evaluation of the measured and simulated datasets validates that the simulated vBerlinV2N dataset captures the essential statistical patterns of the measured BerlinV2N dataset. We analyze the distributions as well as the temporal and spatial variations of the received signal quality metrics of the radio environments and compare the end-to-end throughput, delay, and handovers.
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spelling doaj-art-ee81692d07ec4fed8574462990fd57532025-08-20T02:47:10ZengIEEEIEEE Access2169-35362025-01-011312702312704410.1109/ACCESS.2025.358841611079589vBerlinV2N: Recreating a Cellular Network Measurement Campaign With SimulationsChristian L. Vielhaus0https://orcid.org/0000-0002-3965-7283Mauri Seidel1https://orcid.org/0009-0007-6086-9938Vincent Latzko2https://orcid.org/0000-0003-2075-1648Alexander Grob3https://orcid.org/0009-0004-7516-0479Peter Sossalla4https://orcid.org/0000-0003-1605-7581Martin Reisslein5https://orcid.org/0000-0003-1606-233XFrank H. P. Fitzek6https://orcid.org/0000-0001-8469-9573Deutsche Telekom Chair of Communication Networks, 5G Laboratory Germany, Technische Universität Dresden, Dresden, GermanyDeutsche Telekom Chair of Communication Networks, 5G Laboratory Germany, Technische Universität Dresden, Dresden, GermanyDeutsche Telekom Chair of Communication Networks, 5G Laboratory Germany, Technische Universität Dresden, Dresden, GermanyDeutsche Telekom Chair of Communication Networks, 5G Laboratory Germany, Technische Universität Dresden, Dresden, GermanyAudi AG, Ingolstadt, GermanySchool of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, USADeutsche Telekom Chair of Communication Networks, 5G Laboratory Germany, Technische Universität Dresden, Dresden, GermanySystem-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 vBerlinV2N, a system-level simulation model based on the network simulator 3 (ns-3) that replicates the BerlinV2N measurement campaign conducted in a real-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 vBerlinV2N that closely resembles the BerlinV2N measurement dataset. A statistical evaluation of the measured and simulated datasets validates that the simulated vBerlinV2N dataset captures the essential statistical patterns of the measured BerlinV2N dataset. We analyze the distributions as well as the temporal and spatial variations of the received signal quality metrics of the radio environments and compare the end-to-end throughput, delay, and handovers.https://ieeexplore.ieee.org/document/11079589/Cellular networkdatasetLong Term Evolution (LTE)measurement campaignns-3network simulation
spellingShingle Christian L. Vielhaus
Mauri Seidel
Vincent Latzko
Alexander Grob
Peter Sossalla
Martin Reisslein
Frank H. P. Fitzek
vBerlinV2N: Recreating a Cellular Network Measurement Campaign With Simulations
IEEE Access
Cellular network
dataset
Long Term Evolution (LTE)
measurement campaign
ns-3
network simulation
title vBerlinV2N: Recreating a Cellular Network Measurement Campaign With Simulations
title_full vBerlinV2N: Recreating a Cellular Network Measurement Campaign With Simulations
title_fullStr vBerlinV2N: Recreating a Cellular Network Measurement Campaign With Simulations
title_full_unstemmed vBerlinV2N: Recreating a Cellular Network Measurement Campaign With Simulations
title_short vBerlinV2N: Recreating a Cellular Network Measurement Campaign With Simulations
title_sort vberlinv2n recreating a cellular network measurement campaign with simulations
topic Cellular network
dataset
Long Term Evolution (LTE)
measurement campaign
ns-3
network simulation
url https://ieeexplore.ieee.org/document/11079589/
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