References參考文獻
Reference numbers stay consistent throughout the primer. Hover over a superscript or focus it to see its full citation. Select it to open this index. Section, figure and table locators identify positions in the original source.
全書採用統一的文獻編號。滑鼠移到上標引文,或以鍵盤聚焦,即可查看完整書目,點選可開啟此索引。節次、圖號與表號均指向原始來源。
Some agency, corporate and secondary-source entries identify source collections. Their metadata and links reflect the available detail at collection level.
部分政府機構、公司與二手資料的項目對應整個資料集合,書目與連結依目前可查證的集合層級資訊列出。
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- [2]In-orbit Computing: An Outlandish Thought Experiment?ACM HotNets 2020 · 2020 peer-reviewed
- [3]Delay is Not an Option: Low Latency Routing in SpaceACM HotNets 2018 · 2018 peer-reviewed
- [4]Satellite Communications Systems: Systems, Techniques and TechnologyTextbook textbook
- [5]Fundamentals of Astrodynamics and ApplicationsTextbook textbook
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- [7]Using Ground Relays for Low-Latency Wide-Area Routing in MegaconstellationsACM HotNets 2019 · 2019 peer-reviewed
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- [16]Starlink Constellation: Deployment, Configuration, and DynamicsarXiv 2603.25835 preprint
- [17]Laser Intersatellite Links in a Starlink Constellation: A Classification and AnalysisIEEE VTM 2021 · 2021 peer-reviewed
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- [32]Laser Inter-Satellite Link Setup Delay: Quantification, Impact, and Tolerable ValueWCNC · arXiv 2301.05285 preprint
- [33]Temporary Laser Inter-Satellite Links in Free-Space Optical Satellite NetworksIEEE OJCOMS 2022 · arXiv 2208.11225 peer-reviewed
- [34]LEO Topology Design Under Real-World Deployment ConstraintsarXiv 2602.07756 preprint
- [35]Democratizing LEO Satellite Network Measurement (LEO HitchHiking)Proc. ACM MACS 8(1) · SIGMETRICS 2024 · 2024 peer-reviewed
- [36]Toward a Future Space-Based, Highly Scalable AI Infrastructure System DesignJoule 2026 · 102678 · 2026 peer-reviewed
Joule uses article page numbers as locators, with supplemental material cited as Note S#. Online 1 Oct 2026. Accepted 18 Aug 2026.
- [37]Recent On-Orbit Results and ARQ Performance Analysis for the TBIRD 200-Gbps MissionICSOS 2023 / NASA NTRS · 2023 peer-reviewed
- [38]Optical Communication in Space: Challenges and Mitigation TechniquesIEEE Communications Surveys & Tutorials 19(1), pp. 57–96 · 2017 peer-reviewed
- [39]Small-scale LEO Satellite Networking for Global-scale Demands (TinyLEO)ACM SIGCOMM 2025 · 2025 peer-reviewed
- [40]StarryNet: Empowering Researchers to Evaluate Futuristic Integrated Space and Terrestrial NetworksUSENIX NSDI 2023 · 2023 peer-reviewed
- [41]Optical Communications Terminal (OCT) Standard, v3.0.1Technical standard standard
Links to the issuing agency’s standards index. The cited version is v3.0.1. Newer versions are also published.
- [42]Signal Structure of the Starlink Ku-Band DownlinkIEEE TAES 2023 · 2023 peer-reviewed
- [43]Fine-Grained Starlink Throughput Variation Examined With State-Transition ModelingIFIP WONS 2024 · 2024 peer-reviewed
- [44]Measuring a Low-Earth-Orbit Satellite NetworkIEEE PIMRC 2023 · arXiv 2307.06863 peer-reviewed
- [45]Characterizing the Configuration of Starlink QueuingACM IMC 2026 · arXiv 2605.27717 peer-reviewed
- [46]A Browser-side View of Starlink ConnectivityACM IMC 2022 · 2022 peer-reviewed
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- [49]A Multifaceted Look at Starlink PerformanceACM WWW 2024 · 2024 peer-reviewed
- [50]Low Latency Live Video Streaming over a Low-Earth-Orbit Satellite Network with DASHACM MMSys 2024 · 2024 peer-reviewed
- [51]Looking at Stars: Analyzing Real-Time Video Conferencing over StarlinkACM IMC 2026 · 2026 peer-reviewed
- [52]
- [53]Network Characteristics of LEO Satellite Constellations: A Starlink-Based Measurement from End UsersIEEE INFOCOM 2023 · arXiv 2212.13697 peer-reviewed
- [54]WetLinks: a Large-Scale Longitudinal Starlink Dataset with Contiguous Weather DataarXiv 2402.16448 preprint
- [55]Breaking Through the Clouds: Performance Insights into Starlink's Latency and Packet LossIFIP Networking · 2025 peer-reviewed
- [56]Mind the Misleading Effects of LEO Mobility on End-to-End Congestion ControlACM HotNets 2024 · 2024 peer-reviewed
- [57]Statistical Characterization and Prediction of E2E Latency over LEO Satellite NetworksarXiv 2601.08439 preprint
- [58]Direct-to-Cell: A First Look into Starlink’s Direct Satellite-to-Device Radio Access Network through Crowdsourced MeasurementsIEEE Communications Magazine 64(6) · 2026 peer-reviewed
- [59]Democratizing Direct-to-Cell Low Earth Orbit Satellite NetworksUSENIX NSDI 2024 · 2024 peer-reviewed
- [60]Orbital Edge Computing: Nanosatellite Constellations as a New Class of Computer SystemASPLOS 2020 · 2020 peer-reviewed
- [61]L2D2: Low Latency Distributed Downlink for LEO SatellitesACM SIGCOMM 2021 · 2021 peer-reviewed
- [62]StarCDN: Moving Content Delivery Networks to SpaceACM SIGCOMM 2025 · 2025 peer-reviewed
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- [64]A First Look at Starlink In-Flight Performance: An Intercontinental Empirical StudyarXiv 2508.09839 preprint
- [65]Alibaba HPN: A Data Center Network for Large Language Model TrainingACM SIGCOMM 2024 · 2024 peer-reviewed
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- [67]SaTCP: Link-Layer Informed TCP Adaptation for Highly Dynamic LEO Satellite NetworksIEEE INFOCOM 2023 · 2023 peer-reviewed
- [68]Gearing up for the 21st Century Space RaceACM HotNets 2018 · 2018 peer-reviewed
- [69]Stable Hierarchical Routing for Operational LEO NetworksACM MobiCom 2024 · 2024 peer-reviewed
Only the authors’ MobiCom 2024 slides were available for this primer. Locators refer to slide numbers.
- [70]SaTE: Low-Latency Traffic Engineering for Satellite NetworksACM SIGCOMM 2025 · 2025 peer-reviewed
- [71]A Networking Perspective on Starlink's Self-Driving LEO Mega-ConstellationACM MobiCom 2023 · 2023 peer-reviewed
- [72]Instability of Self-Driving Satellite Mega-Constellation: From Theory to Practical Impacts on Network Lifetime and CapacityarXiv 2406.06068 preprint
- [73]Internet Backbones in SpaceACM SIGCOMM CCR 50(1), 2020 · 2020 peer-reviewed
- [74]LeoCC: Making Internet Congestion Control Robust to LEO Satellite DynamicsACM SIGCOMM 2025 · 2025 peer-reviewed
- [75]Evaluating Learning Congestion control Schemes for LEO ConstellationsarXiv 2510.25498 preprint
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- [78]SpaceMoE: Realizing Distributed Mixture-of-Experts Inference over Space NetworksarXiv 2605.00515 preprint
- [79]Celestial: Virtual Software System Testbeds for the LEO EdgeACM/IFIP Middleware 2022 · 2022 peer-reviewed
- [80]xeoverse: A Real-time Simulation Platform for Large LEO Satellite Mega-ConstellationsIFIP Networking 2024 · arXiv 2406.11366 peer-reviewed
- [81]An experimental evaluation of satellite constellation emulatorsarXiv 2604.04498 preprint
- [82]Emulation vs Simulation: A Case Study from Congestion Control Algorithms in Low Earth Orbit Satellite NetworksMASCOTS 2026 · arXiv 2608.02095 preprint
- [83]Kodan: Addressing the Computational Bottleneck in SpaceASPLOS 2023 (Vol. 3), pp. 392–403 · 2023 peer-reviewed
An open copy is available from NSF PAR (par.nsf.gov/servlets/purl/10424445).
- [84]Satellite Computing: Vision and ChallengesIEEE Internet of Things Journal 10(24), pp. 22514–22529 · 2023 peer-reviewed
- [85]Deciphering the Enigma of Satellite Computing with COTS Devices: Measurement and AnalysisACM MobiCom 2024 · 2024 peer-reviewed
- [86]Radiation effects on NVIDIA Jetson SoCs: Insights from heavy ion irradiationIEEE DFT 2025 · 2025 peer-reviewed
- [87]CloudScout: A Deep Neural Network for On-Board Cloud Detection on Hyperspectral ImagesRemote Sensing 12(14):2205, 2020 · 2020 peer-reviewed
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- [89]It's a Bird? It's a Plane? It's CDN! Investigating Content Delivery Networks in the LEO Satellite Networks EraACM HotNets 2024 · 2024 peer-reviewed
- [90]Ground-Assisted Federated Learning in LEO Satellite ConstellationsIEEE WCL 2022 · arXiv 2109.01348 peer-reviewed
- [91]FedSpace: An Efficient Federated Learning Framework at Satellites and Ground StationsarXiv 2202.01267 preprint
- [92]AsyncFLEO: Asynchronous Federated Learning for LEO Satellite Constellations with High-Altitude PlatformsIEEE BigData 2022 · 2022 peer-reviewed
- [93]FedRings: A Scalable and Topology-Aware Federated Learning Framework for LEO Satellite ConstellationsarXiv 2608.03436 preprint
- [94]OrbitalBrain: Federated Learning over Inter-Satellite LinksNINeS 2026 (OASIcs vol. 139) · 2026 peer-reviewed
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- [96]Communication-Efficient Collaborative LLM Inference over LEO Satellite NetworksarXiv 2604.04654 preprint
- [97]LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO SatellitesarXiv 2605.05615 preprint
- [98]MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUsUSENIX NSDI 2024 · 2024 peer-reviewed
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- [101]The Cost and Network Limits of Space-Based AI ComputearXiv 2607.14172 preprint
- [102]Designing Dense Satellite Clusters for Distributed Space-based Datacentersv2 · arXiv 2605.15335 preprint
- [103]Geometric Perspectives on Fundamental Solutions in the Linearized Satellite Relative Motion Problemsubsequently Acta Astronautica 190, 2022 · arXiv 2108.09608 preprint
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- [105]The development of carbon-neutral data centers in spaceNature Electronics 8, pp. 1016–1026 · 2025 peer-reviewed
- [106]SpaceMoE: Towards Orbital General Intelligence with Distributed Mixture-of-Experts InferencearXiv 2605.16849 preprint
- [107]
- [108]Towards a Future Space-Based, Highly Scalable AI Infrastructure System Designpreprint, v2 17 Jun 2026 · arXiv 2511.19468 preprint
This entry identifies the preprint of Joule 2026 article [36]. Separate citations distinguish version-specific results and §-numbered locators. The TID ceiling is 15 krad(Si) in the preprint and 10 krad(Si) in Joule.
- [109]Scheduling for Ground-Assisted Federated Learning in LEO Satellite ConstellationsEUSIPCO 2022 · arXiv 2206.01952 peer-reviewed
- [110]Proton Testing of nVidia Jetson TX2NASA Goddard Space Flight Center, NTRS 20190031856 · 2019 agency report