CASIA OpenIR  > 学术期刊  > IEEE/CAA Journal of Automatica Sinica
UltraStar: A Lightweight Simulator of Ultra-Dense LEO Satellite Constellation Networking for 6G
Xiaoyu Liu; Ting Ma; Zhixuan Tang; Xiaohan Qin; Haibo Zhou; Xuemin (Sherman) Shen
Source PublicationIEEE/CAA Journal of Automatica Sinica
ISSN2329-9266
2023
Volume10Issue:3Pages:632-645
AbstractThe mega-constellation network has gained significant attention recently due to its great potential in providing ubiquitous and high-capacity connectivity in sixth-generation (6G) wireless communication systems. However, the high dynamics of network topology and large scale of mega-constellation pose new challenges to the constellation simulation and performance evaluation. In this paper, we introduce UltraStar, a lightweight network simulator, which aims to facilitate the complicated simulation for the emerging mega-constellation of unprecedented scale. Particularly, a systematic and extensible architecture is proposed, where the joint requirement for network simulation, quantitative evaluation, data statistics and visualization is fully considered. For characterizing the network, we make lightweight abstractions of physical entities and models, which contain basic representatives of networking nodes, structures and protocol stacks. Then, to consider the high dynamics of Walker constellations, we give a two-stage topology maintenance method for constellation initialization and orbit prediction. Further, based on the discrete event simulation (DES) theory, a new set of discrete events is specifically designed for basic network processes, so as to maintain network state changes over time. Finally, taking the first-generation Starlink of 11 927 low earth orbit (LEO) satellites as an example, we use UltraStar to fully evaluate its network performance for different deployment stages, such as characteristics of constellation topology, performance of end-to-end service and effects of network-wide traffic interaction. The simulation results not only demonstrate its superior performance, but also verify the effectiveness of UltraStar.
KeywordDiscrete event simulation (DES) mega-constellation network dynamics performance evaluation simulation architecture design
DOI10.1109/JAS.2023.123084
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/51177
Collection学术期刊_IEEE/CAA Journal of Automatica Sinica
Recommended Citation
GB/T 7714
Xiaoyu Liu,Ting Ma,Zhixuan Tang,et al. UltraStar: A Lightweight Simulator of Ultra-Dense LEO Satellite Constellation Networking for 6G[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(3):632-645.
APA Xiaoyu Liu,Ting Ma,Zhixuan Tang,Xiaohan Qin,Haibo Zhou,&Xuemin .(2023).UltraStar: A Lightweight Simulator of Ultra-Dense LEO Satellite Constellation Networking for 6G.IEEE/CAA Journal of Automatica Sinica,10(3),632-645.
MLA Xiaoyu Liu,et al."UltraStar: A Lightweight Simulator of Ultra-Dense LEO Satellite Constellation Networking for 6G".IEEE/CAA Journal of Automatica Sinica 10.3(2023):632-645.
Files in This Item: Download All
File Name/Size DocType Version Access License
JAS-2022-1195.pdf(6265KB)期刊论文出版稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xiaoyu Liu]'s Articles
[Ting Ma]'s Articles
[Zhixuan Tang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xiaoyu Liu]'s Articles
[Ting Ma]'s Articles
[Zhixuan Tang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xiaoyu Liu]'s Articles
[Ting Ma]'s Articles
[Zhixuan Tang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: JAS-2022-1195.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.