Dynamic Link Network Emulation: a Model-based Design

Petersen, Erick; López, J. A.; Kushik, Natalia; Poletti, Claude; Zeghlache, Djamal

doi:10.48550/arxiv.2107.07217

Cited by 1 publication

(4 citation statements)

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“…ESTNeT [52] https://github.com/estnet-framework/estnet https://github.com/estnet-framework/estnet-docker FLoRaSat [72] https://gitlab.inria.fr/jfraire/florasat DLinkEm [76] https://github.com/ptrsen/DLinkEm [61] https://github.com/pfandzelter/LLEOSCN-CDN-Sim SMN Simulator [78] https://github.com/Joonwoo-MNC/SMN-Simulator Celestial [58] https://github.com/OpenFogStack/celestial [59] https://github.com/pfandzelter/optimal-leo-placement 5G-SpaceLab [80] https://5gspacelab.uni.lu/ Stargaze [81] https://github.com/patrickkon/Stargaze not been fully exploited in STIN simulations and there is still huge room for improvement.…”

Section: Simulatormentioning

confidence: 99%

“…Relevant Simulators < 10 CogSWEL [64], [63], SNS3 [54], SatSysSim [75], [67], [77], [73], [56], [74], SMN Simulator [78], OS 3 [24], spacecraft-ns3 [60], MininetE [66], ES-TNeT [52], [65], SGIN-Stack [46], DLinkEm [76],…”

Section: Supported Satellite Number Rangementioning

confidence: 99%

“…DLinkEm [76] focuses on the simulation of dynamic link characteristics, which may change due to a series of factors, e.g., external interference, propagation conditions (weather), traffic variations (due to the shared medium), etc. Various virtualization technologies are utilized in the implementation of DLinkEm, e.g., virtual machines, containers, and unikernels.…”

Section: F Cloud-based Simulatorsmentioning

confidence: 99%

“…Cloud computing has been used for both simulation and practice in satellite-terrestrial integrated networks. As discussed in Section V, some STIN simulators are based on cloud computing tools, e.g., SGIN-Stack [46], DLinkEm [76] and [22]. In industry, cloud computing has also been applied in real-world satellite communication facilities, e.g., virtual ground stations including AWS Ground Station 45 [75] Linux Python Low DVB-RCS2 satellite resource allocation DLinkEm [76] Linux C++ Low Link capacity and delay simulation [22] Linux Python Low Node and link emulation, protocol and application deployment [77] Linux C++ Low S-UMTS standard evaluation SMN Simulator [78] Linux C++ High Session establishment and satellite handover Celestial [58] Linux Python High Satellite edge computing Amazon and the Azure Orbital service 46 built by Microsoft.…”

Section: Network Simulation As a Servicementioning

confidence: 99%

See 3 more Smart Citations

Network Simulators for Satellite-Terrestrial Integrated Networks: A Survey

Jiang,

Zhan,

Xiao

et al. 2023

IEEE Access

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Satellite-terrestrial integrated networks have been proposed as a promising solution to provide global seamless coverage in next-generation communication networks. To enable the integration of satellite and terrestrial networks, network simulation is a fundamental and economically efficient step compared to the high cost of field trial and real-world system deployment. Simulation challenges arise with the fast growth of LEO mega-constellations, including frequent re-connection and handover, long satellite transmission delay, high dynamics of satellite network topologies, and the integration of heterogeneous infrastructures. More requirements emerge for satellite-terrestrial integrated simulation, including fidelity, scalability, extensibility, agility, and real-time. However, there is a lack of a state-of-the-art review for relevant simulators. To the best of our knowledge, this paper is the most comprehensive and latest survey that covers network simulators for satellite-terrestrial integrated networks, with all or partial simulation functionalities for satellite orbit simulation, physical layer modeling, and network protocols and algorithms. Compared with existing surveys, this survey contributes from three aspects: (1) an up-to-date collection and a comprehensive taxonomy of simulation tools in the past decade; (2) a summary of the main requirements and challenges; and (3) an inspiring summary for new research opportunities and publicly available simulation tools for follow-up research.

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