SatNet SpaceSim: A Platform for Performance Analysis of Small Satellites Mega-Constellations

被引:0
|
作者
Abu Qamar, Hamzeh [1 ]
Mohammed, Khaled [1 ]
Khalil, Ruhul Amin [1 ]
Saeed, Nasir [1 ]
机构
[1] United Arab Emirates Univ, Dept Elect & Commun Engn, Al Ain 15551, U Arab Emirates
关键词
Small satellites; constellations; link budget; coverage analysis; COMMUNICATION;
D O I
10.1109/EuCNC/6GSummit60053.2024.10597066
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The emergence of small satellites is crucial in the dynamic domain of space networks, enabling cost-effective networks for diverse applications such as monitoring, surveillance, and data rely in space. The upcoming Emirati Interplanetary Mission in 2028 emphasizes the importance of well-designed mega-constellations of small satellites to ensure coverage in remote and challenging terrains. Nevertheless, establishing such localized systems involves substantial financial demands and intricate technical challenges. To tackle these obstacles, this paper introduces SatNet SpaceSim, a simulator developed to analyze the performance of communication links and coverage of small satellite constellations before deployment. This emulation aims to detect and address potential issues proactively, reducing the risk of costly satellite malfunctions. The proposed SatNet SpaceSim offers comprehensive performance analysis through diverse simulations. Moreover, a graphical user interface (GUI) has been devised for SatNet SpaceSim, integrating requisite calculations to assess links based on parameters such as received power and signal-to-noise ratio. Furthermore, we provide extensive simulations for various constellations to demonstrate dynamic orbital maneuverability and coverage analysis, presenting a cost-effective avenue for thorough performance evaluations. Our proposed SatNet SpaceSim platform has the potential to reduce production expenses and improve the efficiency of regional small satellite constellations.
引用
收藏
页码:646 / 651
页数:6
相关论文
共 24 条
  • [1] Design of Mega-Constellations of LEO Satellites for Positioning
    He, Xingchi
    Hugentobler, Urs
    CHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2018 PROCEEDINGS, VOL I, 2018, 497 : 663 - 673
  • [2] Technological trends and future prospects of satellite communications for mega-constellations with small satellites
    Toyoshima, Morio
    ADVANCES IN COMMUNICATIONS SATELLITE SYSTEMS 2, 2020, 95 : 363 - 370
  • [3] STARPERF: Characterizing Network Performance for Emerging Mega-Constellations
    Lai, Zeqi
    Li, Hewu
    Li, Jihao
    2020 IEEE 28TH INTERNATIONAL CONFERENCE ON NETWORK PROTOCOLS (IEEE ICNP 2020), 2020,
  • [4] TT&C Capacity Analysis of mega-constellations: How many satellites can we support?
    Pan, Xiaohan
    Zhan, Yafeng
    Zeng, Guanming
    Wang, Xiaowei
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022, : 2393 - 2398
  • [5] The Kinetic casualty risk of uncontrolled re-entries before and after the transition to small satellites and mega-constellations
    Pardini, Carmen
    Anselmo, Luciano
    JOURNAL OF SPACE SAFETY ENGINEERING, 2022, 9 (03): : 414 - 426
  • [6] Exploiting Path Diversity to Increase System Performance in Mega-constellations
    Lan, Tianming
    Li, Hewu
    Wu, Qian
    Lai, Zeqi
    Liu, Jun
    2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2021,
  • [7] Performance Analysis of a Dual Terahertz/Ka Band Communication System for Satellite Mega-Constellations
    Alqaraghuli, Ali J.
    Abdellatif, Hussam
    Jornet, Josep M.
    2021 IEEE 22ND INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS (WOWMOM 2021), 2021, : 316 - 322
  • [8] Stochastic Analysis of Satellite Broadband by Mega-Constellations with Inclined LEOs
    Okati, Niloofar
    Riihonen, Taneli
    2020 IEEE 31ST ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (IEEE PIMRC), 2020,
  • [9] Comparing Positioning Performance of LEO Mega-Constellations and GNSS in Urban Canyons
    More, Harshal
    Cianca, Ernestina
    de Sanctis, Mauro
    IEEE ACCESS, 2024, 12 : 24465 - 24482
  • [10] Achieving Predictable and Scalable Load Balancing Performance in LEO Mega-Constellations
    Dou, Songshi
    Zhang, Shengyu
    Yeung, Kwan L.
    ICC 2024 - IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2024, : 3146 - 3151