StarryNet: Empowering Researchers to Evaluate Futuristic Integrated Space and Terrestrial Networks

Authors: 

Zeqi Lai and Hewu Li, Tsinghua University and Zhongguancun Laboratory; Yangtao Deng, Tsinghua University; Qian Wu, Jun Liu, and Yuanjie Li, Tsinghua University and Zhongguancun Laboratory; Jihao Li, Lixin Liu, and Weisen Liu, Tsinghua University; Jianping Wu, Tsinghua University and Zhongguancun Laboratory

Abstract: 

Futuristic integrated space and terrestrial networks (ISTN) not only hold new opportunities for pervasive, low-latency Internet services, but also face new challenges caused by satellite dynamics on a global scale. It should be useful for researchers to run various experiments to systematically explore new problems in ISTNs. However, existing experimentation methods either attain realism but lack flexibility (e.g. live satellites), or achieve flexibility but lack realism (e.g. ISTN simulators).

This paper presents StarryNet, a novel experimentation framework that enables researchers to conveniently build credible and flexible experimental network environments (ENE) mimicking satellite dynamics and network behaviors of large-scale ISTNs. StarryNet simultaneously achieves constellation-consistency, networked system realism and flexibility, by adopting a real-data-driven, lightweight-emulation-aided approach to build a digital twin of physical ISTNs in the terrestrial virtual environment. Driven by public and real constellation-relevant information, we show StarryNet's acceptable fidelity and demonstrate its flexibility to support various ISTN experiments, such as evaluating different inter-networking mechanisms for space-ground integration, and assessing the network resilience of futuristic ISTNs.

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

This content is available to:

Lai Paper (Prepublication) PDF