Modelling 5G network with network planning tool and verifying results with field measurements
Pöyhönen, Aki (2022)
2022
Sähkötekniikan DI-ohjelma - Master's Programme in Electrical Engineering
Informaatioteknologian ja viestinnän tiedekunta - Faculty of Information Technology and Communication Sciences
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Hyväksymispäivämäärä
2022-11-14
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202210287986
https://urn.fi/URN:NBN:fi:tuni-202210287986
Tiivistelmä
Wireless communications systems aim to achieve higher throughput, smaller latency, and better reliability for ever-growing demand. This creates challenges since radio resources are limited and a need for new technologies to achieve these demands is imminent. The ability to accurately model and simulate wireless networks becomes crucial to efficient radio network planning and optimization. Precise radio network models that generate accurate simulation results can be utilized to better understand and overcome the bottlenecks of designated radio networks.
In this thesis work the fifth generation (5G) Radio Access Network (RAN) model is built by using the radio network planning tool ASSET Radio and each part of the model is introduced along with RAN topology. The relevant selected system-level simulation results of the 5G RAN model are compared to field measurement results from equivalent real-life 5G RAN.
The differences and the similarities of the results between system-level simulation and field measurements are analyzed and the root causes for those results are made known. The main objective of this thesis work is to better understand key factors that impact the system-level simulation and the field measurement results of the 5G network. Furthermore, the key findings of this thesis work can be used to create more accurate 5G network models and overcome the challenges related to the 5G field measurements.
The results from this thesis work indicate that the radio network planning tool ASSET Radio can build an accurate 5G RAN model, which produces similar results to the results obtained from field measurements. With enough information of a designated 5G RAN, relatively precise results can be produced with ASSET Radio’s system-level simulation and depending on the required level of accuracy, potentially leaving the field measurements unnecessary.
In this thesis work the fifth generation (5G) Radio Access Network (RAN) model is built by using the radio network planning tool ASSET Radio and each part of the model is introduced along with RAN topology. The relevant selected system-level simulation results of the 5G RAN model are compared to field measurement results from equivalent real-life 5G RAN.
The differences and the similarities of the results between system-level simulation and field measurements are analyzed and the root causes for those results are made known. The main objective of this thesis work is to better understand key factors that impact the system-level simulation and the field measurement results of the 5G network. Furthermore, the key findings of this thesis work can be used to create more accurate 5G network models and overcome the challenges related to the 5G field measurements.
The results from this thesis work indicate that the radio network planning tool ASSET Radio can build an accurate 5G RAN model, which produces similar results to the results obtained from field measurements. With enough information of a designated 5G RAN, relatively precise results can be produced with ASSET Radio’s system-level simulation and depending on the required level of accuracy, potentially leaving the field measurements unnecessary.