This thesis presents a dual-focused study on the analytical comparison of Next Generation Radio Access Network (NG-RAN) implementations and the development of an automated configuration system to streamline the deployment of 5G base stations (gNodeBs). As mobile networks adopt increasingly heterogeneous and multi-vendor RAN solutions, the complexity of configuring gNBs grows due to diverse vendor-specific architectures and parameter sets. In the first part of the research, a systematic comparative analysis of different NG-RAN implementations was conducted. This included both a detailed examination of vendor documentation and practical validation through experimental simulations on dedicated hardware. Key functional areas were identified, and a structured evaluation methodology was applied to highlight similarities, differences, and configuration dependencies across implementations. The second part builds upon the insights gained from the comparative study. A set of shared parameters, referred to as the greatest common denominator, was extracted from the analysis, forming a vendor-neutral configuration core. This model served as the basis for the design and development of an automated configuration system. The resulting tool includes a simple user interface that accepts standardized configuration input and generates implementation-specific configuration files, thereby significantly reducing deployment time and the risk of human error in the research environment..

This thesis presents a dual-focused study on the analytical comparison of Next Generation Radio Access Network (NG-RAN) implementations and the development of an automated configuration system to streamline the deployment of 5G base stations (gNodeBs). As mobile networks adopt increasingly heterogeneous and multi-vendor RAN solutions, the complexity of configuring gNBs grows due to diverse vendor-specific architectures and parameter sets. In the first part of the research, a systematic comparative analysis of different NG-RAN implementations was conducted. This included both a detailed examination of vendor documentation and practical validation through experimental simulations on dedicated hardware. Key functional areas were identified, and a structured evaluation methodology was applied to highlight similarities, differences, and configuration dependencies across implementations. The second part builds upon the insights gained from the comparative study. A set of shared parameters, referred to as the greatest common denominator, was extracted from the analysis, forming a vendor-neutral configuration core. This model served as the basis for the design and development of an automated configuration system. The resulting tool includes a simple user interface that accepts standardized configuration input and generates implementation-specific configuration files, thereby significantly reducing deployment time and the risk of human error in the research environment.

Analytical comparison of NG-RAN implementations and automated configuration for streamlining gNodeB deployment

AMISTA', MICHAEL
2024/2025

Abstract

This thesis presents a dual-focused study on the analytical comparison of Next Generation Radio Access Network (NG-RAN) implementations and the development of an automated configuration system to streamline the deployment of 5G base stations (gNodeBs). As mobile networks adopt increasingly heterogeneous and multi-vendor RAN solutions, the complexity of configuring gNBs grows due to diverse vendor-specific architectures and parameter sets. In the first part of the research, a systematic comparative analysis of different NG-RAN implementations was conducted. This included both a detailed examination of vendor documentation and practical validation through experimental simulations on dedicated hardware. Key functional areas were identified, and a structured evaluation methodology was applied to highlight similarities, differences, and configuration dependencies across implementations. The second part builds upon the insights gained from the comparative study. A set of shared parameters, referred to as the greatest common denominator, was extracted from the analysis, forming a vendor-neutral configuration core. This model served as the basis for the design and development of an automated configuration system. The resulting tool includes a simple user interface that accepts standardized configuration input and generates implementation-specific configuration files, thereby significantly reducing deployment time and the risk of human error in the research environment..
2024
Analytical comparison of NG-RAN implementations and automated configuration for streamlining gNodeB deployment
This thesis presents a dual-focused study on the analytical comparison of Next Generation Radio Access Network (NG-RAN) implementations and the development of an automated configuration system to streamline the deployment of 5G base stations (gNodeBs). As mobile networks adopt increasingly heterogeneous and multi-vendor RAN solutions, the complexity of configuring gNBs grows due to diverse vendor-specific architectures and parameter sets. In the first part of the research, a systematic comparative analysis of different NG-RAN implementations was conducted. This included both a detailed examination of vendor documentation and practical validation through experimental simulations on dedicated hardware. Key functional areas were identified, and a structured evaluation methodology was applied to highlight similarities, differences, and configuration dependencies across implementations. The second part builds upon the insights gained from the comparative study. A set of shared parameters, referred to as the greatest common denominator, was extracted from the analysis, forming a vendor-neutral configuration core. This model served as the basis for the design and development of an automated configuration system. The resulting tool includes a simple user interface that accepts standardized configuration input and generates implementation-specific configuration files, thereby significantly reducing deployment time and the risk of human error in the research environment.
5G
NG-RAN
Comparison
Auto-Configuration
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/102078