This paper introduces a framework for Satellite, Terrestrial Integrated Network (STIN), a modular and joint simulation tool for simulating and evaluating integrated terrestrial and non-terrestrial communication systems. The framework comprises various modules designed to model real-world environments, compute and analyze constellation features, and perform channel modeling. Through the seamless integration of these components, the STIN framework enables users to assess the performance of satellite constellations under diverse conditions and select optimal configurations for enhanced coverage and communication efficiency. The paper discusses the methodology and workflow of the framework and a preliminary implementation, suggesting avenues for obtaining communication dataseis to support AI-driven approaches.
Advancing the future of integrated 5G-satellite networks: a practical framework for performance evaluation, dataset generation, and AI-driven approaches
Calabro' A.;Cassara' P.;Gotta A.;Marchetti E.
2025
Abstract
This paper introduces a framework for Satellite, Terrestrial Integrated Network (STIN), a modular and joint simulation tool for simulating and evaluating integrated terrestrial and non-terrestrial communication systems. The framework comprises various modules designed to model real-world environments, compute and analyze constellation features, and perform channel modeling. Through the seamless integration of these components, the STIN framework enables users to assess the performance of satellite constellations under diverse conditions and select optimal configurations for enhanced coverage and communication efficiency. The paper discusses the methodology and workflow of the framework and a preliminary implementation, suggesting avenues for obtaining communication dataseis to support AI-driven approaches.| File | Dimensione | Formato | |
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Alibabaie et al_Advancing_SIMULTECH 2025_VoR.pdf
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Descrizione: Advancing the Future of Integrated 5G-Satellite Networks: A Practical Framework for Performance Evaluation, Dataset Generation, and AI-Driven Approaches
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