5G NTN System Simulation and Emulation Platforms in Modeling, Design, and Performance Evaluation
Résumé fourni par la source
This chapter highlights the importance of modeling, simulation, and emulation platforms for analyzing the complex behavior of terrestrial network–non-terrestrial network (NTN) systems. Due to the heterogeneity in propagation, mobility, and protocol timing across domains, purely analytical methods are insufficient. Instead, multi-layer and multi-timescale evaluation frameworks are required to accurately capture interactions among radio links, network protocols, and orbital dynamics. System-level simulations support scalable evaluation of design choices such as traffic steering, multi-connectivity, and mobility management, while link-level modeling accurately captures NTN-specific physical-layer impairments. Network emulation complements these methods by revealing real protocol behavior and interoperability, bridging the gap between theoretical analysis and practical deployment. Together, these approaches highlight key trade-offs among latency, throughput, availability, and resource efficiency, emphasizing the need for intelligent coordination between terrestrial and non-terrestrial segments to support efficient network design, protocol optimization, and reliable service delivery. In the first part of this chapter, a simulation framework and tools are presented for modeling integrated NTNs and conducting performance analyses to understand their behavior, quantify benefits, and guide system design. In the second part, a 5G NTN system design framework and feasibility are presented based on a techno-economic analysis of LEO broadband and D2D services in global LEO NTNs.
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Contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- 5G NTN System Simulation and Emulation Platforms in Modeling, Design, and Performance Evaluation
- Date Crossref
- 17/08/2026
- Éditeur
- CRC Press
- Type
- book-chapter
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.