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A Performance Evaluation Platform for mega Satellite constellation Network

Journal of Computer and Communications 2023年第6期11卷 122-130页

作者： Yifei Jiang Wanxia He Shufan Wu Lili Zuo Weixin Zhang Qiankun Mo School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai China Shanghai Aerospace Computer Technology Institute Shanghai China

With the rapid development of satellite technology, mega satellite constellations have become a research hotspot. A large number of related techniques have been developed on orbit topology, network routing, energy balance and resource control. However, it is difficult to accurately compare the performance of similar studies due to differences in the means of validation. Especially for invulnerability studies in many military applications, a unified evaluation system is essential. This paper proposes a network evaluation system for mega satellite constellations. Evaluation parameters include orbit topology, communication network, energy balance and invulnerability. Different application algorithms and traffic models were used to validate the specific system. .

关键词： mega constellation Satellite Communication Network Evaluation

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An analysis of close approaches and probability of collisions between LEO resident space objects and mega constellations

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Geo-Spatial Information Science 2022年第1期25卷 104-120页

作者： Yan Zhang Bin Li Hongkang Liu Jizhang Sang School of Geodesy and Geomatics Wuhan UniversityWuhanChina

With the undergoing and planned implementations of mega constellations of thousands of Low Earth Orbiting(LEO)satellites,space will become even more congested for satellite *** enduring effects on the long-term space environment have been investigated by various researchers using debris environment *** paper is focused on the imminent short-term effects of LEO mega constellations on the space operation environment concerned by satellite owners and *** effects are measured in terms of the Close Approaches(CAs)and overall collision *** of using debris environment models,the CAs are determined from integrated orbit positions,and the collision probability is computed for each CA considering the sizes and position covariance of the involving *** obtained results thus present a clearer picture of the space operation safety environment when LEO mega constellations are *** mega constellations are simulated,including a Starlink-like constellation of 1584 satellites,four possible generic constellations at altitudes between 1110 km and 1325 km,and three constellations of 1584 satellites each at the altitudes of 650 km,800 km,and 950 km,respectively,where the Resident Space Object(RSO)spatial density is the *** increases in the number of CAs and overall collision probability caused by them are really *** results suggest that highly frequent orbital maneuvers are required to avoid collisions between existing RSOs and constellation satellites,and between satellites from two constellations at a close altitude,as such the constellation operation burden would be very *** study is not only useful for satellite operators but a powerful signal for various stakeholders to pay serious attention to the development of LEO mega constellations.

关键词： Resident space object mega constellation close approach collision probability

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Reinforcement learning based dynamic distributed routing scheme for mega LEO satellite networks

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Chinese Journal of Aeronautics 2023年第2期36卷 284-291页

作者： Yixin HUANG Shufan WU Zeyu KANG Zhongcheng MU Hai HUANG Xiaofeng WU Andrew Jack TANG Xuebin CHENG School of Aeronautics and Astronautics Shanghai Jiao Tong UniversityShanghai 200240China School of Astronautics Beihang UniversityBeijing 100191China School of Aerospace Mechanical and Mechatronic EngineeringThe University of SydneyCamperdown 2006Australia X-Laboratory The Second Academy of China Aerospace Science and Industry CorporationBeijing 100854China

Recently,mega Low Earth Orbit(LEO)Satellite Network(LSN)systems have gained more and more attention due to low latency,broadband communications and global coverage for ground *** of the primary challenges for LSN systems with inter-satellite links is the routing strategy calculation and maintenance,due to LSN constellation scale and dynamic network topology *** order to seek an efficient routing strategy,a Q-learning-based dynamic distributed Routing scheme for LSNs(QRLSN)is proposed in this *** achieve low end-toend delay and low network traffic overhead load in LSNs,QRLSN adopts a multi-objective optimization method to find the optimal next hop for forwarding data *** results demonstrate that the proposed scheme can effectively discover the initial routing strategy and provide long-term Quality of Service(QoS)optimization during the routing maintenance *** addition,comparison results demonstrate that QRLSN is superior to the virtual-topology-based shortest path routing algorithm.

关键词： LEO satellite networks mega constellation Multi-objective optimization Routing algorithm Reinforcement learning

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