Testing and KPI Analysis of VoNR in 5G FDD DSS RF Environment
Jellani, Ghulam (2024)
2024
Master's Programme in Electrical Engineering
Informaatioteknologian ja viestinnän tiedekunta - Faculty of Information Technology and Communication Sciences
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Hyväksymispäivämäärä
2024-12-04
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202410319726
https://urn.fi/URN:NBN:fi:tuni-202410319726
Tiivistelmä
This study focuses on the testing and Key Performance Indicator (KPI) analysis of Vo-NR (Voice Over New Radio) in a Dynamic Spectrum Sharing (DSS) 5G Frequency Division Duplex (FDD) Radio Frequency (RF) environment. With the deployment of 5G networks and the coexistence of 4G and 5G technologies using DSS, it is imperative to assess the performance of Vo-NR, particularly in the context of voice communication.
The research employs a comprehensive testing framework to evaluate the quality, reliability, and efficiency of Vo-NR services within the constraints of a DSS-enabled 5G-FDD RF environment. Various KPIs, including voice quality, call setup time, latency, and packet loss, are analyzed to assess the Vo-NR performance.
The findings of this study provide valuable insights into the feasibility and effectiveness of Vo-NR in a DSS-5G-FDD RF environment, shedding light on the challenges and opportunities presented by this integration. The results offer guidance for network operators, service providers, and policymakers to optimize voice communication services in evolving 5G networks with dynamic spectrum sharing.
The research employs a comprehensive testing framework to evaluate the quality, reliability, and efficiency of Vo-NR services within the constraints of a DSS-enabled 5G-FDD RF environment. Various KPIs, including voice quality, call setup time, latency, and packet loss, are analyzed to assess the Vo-NR performance.
The findings of this study provide valuable insights into the feasibility and effectiveness of Vo-NR in a DSS-5G-FDD RF environment, shedding light on the challenges and opportunities presented by this integration. The results offer guidance for network operators, service providers, and policymakers to optimize voice communication services in evolving 5G networks with dynamic spectrum sharing.