This paper presents the development of a knowledge graph-based tool that enables a comparative analysis of the radio frequency spectrum allocation tables of the United States and European countries, highlighting key differences and similarities in the management of radio frequency spectrum. Spectrum is a finite and valuable resource, critical for ensuring seamless communication and supporting technological innovation. Efficient management and periodic reorganization of spectrum are essential to accommodate the increasing demand from emerging technologies requiring large bandwidths.
The study leverages knowledge graphs to integrate diverse data sources, facilitating a unified view of spectrum allocation and utilization. By employing this approach, we provide insights into the structural differences, potential bandwidth, and common radio services between the US and the EU. Knowledge graphs offer significant advantages in this context, including the ability to seamlessly integrate and organize complex datasets from various sources, providing a structured and interconnected format. This approach enhances data accessibility and enables advanced analytics, supporting comprehensive and detailed analysis of spectrum management practices. The system developed in this study provides a robust tool for decision-makers to analyse different scenarios and their impacts on spectrum allocation and usage.
This paper presents the development of a knowledge graph-based tool that enables a comparative analysis of the radio frequency spectrum allocation tables of the United States and European countries, highlighting key differences and similarities in the management of radio frequency spectrum. Spectrum is a finite and valuable resource, critical for ensuring seamless communication and supporting technological innovation. Efficient management and periodic reorganization of spectrum are essential to accommodate the increasing demand from emerging technologies requiring large bandwidths.
The study leverages knowledge graphs to integrate diverse data sources, facilitating a unified view of spectrum allocation and utilization. By employing this approach, we provide insights into the structural differences, potential bandwidth, and common radio services between the US and the EU. Knowledge graphs offer significant advantages in this context, including the ability to seamlessly integrate and organize complex datasets from various sources, providing a structured and interconnected format. This approach enhances data accessibility and enables advanced analytics, supporting comprehensive and detailed analysis of spectrum management practices. The system developed in this study provides a robust tool for decision-makers to analyse different scenarios and their impacts on spectrum allocation and usage. Read More
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