[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-84198-en":3,"doc-seo-84198-105":29,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":13,"seo_description":14,"update_tm":27,"read_time":28},84198,1374391974468,"Eden","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","Unveiling TCP BBR Dominance in Starlink Internet Experimental Insights and Analysis","TCP congestion control research is advanced through Google’s Bottleneck Bandwidth and Round-trip propagation time (BBR), which explicitly models bottleneck bandwidth and propagation delay. Building on BBR-v1 fairness and queueing issues, BBR-v2 improves behavior, while BBR-v3 refines probing and pacing to balance throughput, latency, and fairness across heterogeneous networks. This work evaluates BBR-v3 in Starlink’s global LEO setting with a distributed testbed, decomposed path modeling, end-to-end failure probabilities, fluid window dynamics, queuing, and fairness against eight congestion control algorithms.","Unveiling TCP BBR Dominance in Starlink Internet: Experimental Insights and Analysis  \nRakshitha De Silva , Shiva Raj Pokhrel  Senior Member, IEEE and Jonathan Kua  Member, IEEE  \nInternet transport design. and Round-trip propaga-  \nFig. 1: A simplified illustration of our global experimental  \ntestbed over Starlink Internet.  \nGoogle’s Bottleneck Bandwidth and Round-trip propagation time (BBR), introduced in 2017, represents a paradigm shift in Transmission Control Protocol (TCP) Congestion Control Algorithms (CCAs) by explicitly modeling bottleneck bandwidth and propagation delay rather than relying on lossbased congestion detection. While BBR version 1 (BBR-v1) demonstrated significant throughput improvements, it revealed fairness and efficiency challenges, particularly persistent queue buildup. BBR version 2 (BBR-v2) addressed these issues but continued to struggle in heterogeneous environments [3], [4] . The latest iteration, BBR version 3 (BBR-v3), refines probing and pacing strategies to optimize throughput, latency, and fairness across diverse network conditions, with ongoing research characterizing its behavior in various deployment scenarios [5] .  \nThe convergence of Starlink’s global LEO network with BBR’s model-based congestion control presents significant yet underexplored potential. Existing research on BBR over LEO networks primarily relies on simulations [6] or singleconnection analyses predating BBR-v3 [7], [8] . Studies using actual Starlink data have focused on video streaming application-level performance [9], [10], rather than BBR’snetwork-level performance. Furthermore, most work on TCP over LEO research does not cover physical layer evaluation, critical to transport layer performance. Addressing these gaps, this work makes the following contributions:  \n• A decomposition of the Starlink network into user link, Inter-Satellite Links (ISLs), and feeder link components with mathematical models yielding end-to-end transmission path failure probability.  \n• Design and implementation of a global Starlink Internet performance testbed across six cities: Ohio, So Paulo, London, Mumbai, Tokyo, and Sydney.  \n• Extensive analyses of BBR-v3 performance comparison against eight CCAs: Cubic [11], Vegas [12], Hybla [13], LEO Network Congestion Control (LeoCC) [14], Copa [15], Performance-oriented Congestion Control (PCC) [16], BBR-v1, and BBR-v2 . The evaluation covers four primary network conditions: dedicated uplink and downlink, inter-CCA concurrent uplink and downlink.  \n• Present a fluid model of BBR-v3 congestion window modeling yielding end-to-end transmission path and transmission failure probability that capture Starlink LEO dynamics and explain experimental observations.  \n• Queuing analysis and fairness evaluation of BBR-v3 encapsulating the captured data over the globally distributed testbed.  \nThe remainder of this paper is organized as follows: Section II provides an overview of the Starlink network characteristics and derives a mathematical model of the end-toend link failure probability. Section III details the globally distributed testbed implementations and provides an evaluation of the collected results. Section IV presents the fluid model, queuing analysis, and provides a fairness evaluation of BBRv3 encapsulating the collected data, and Section V concludes the article.  \nII. STARLINK INTERNET: SYSTEM AND SETTINGS  \nA. Overview of the Starlink Network  \nAs of May 2026, there are 10,408 active Starlink satellitesin orbit, making SpaceX’s mega-LEO constellation by far the largest of its kind [2] . These satellites are categorized into four variants: V1, V1.5, V2-KU (utilizing Ku-band), and V2-DTC, a specialized version of Direct to Cell (DTC) designed for direct smartphone connectivity [1] . According to Federal Communications Commission (FCC) filings, the constellation is structured into five distinct orbital shells with different orbital lanes and inclination angles [17] . This architecture ensures ","cbCaiiwZqlTC2G0Q","https://ap.wps.com/l/cbCaiiwZqlTC2G0Q","pdf",24584944,1,18,"English","en",105,"# Starlink Internet: System and Settings\n## Overview of the Starlink Network\n## Decomposed Network Model and End-to-End Failure Probability\n# Experimental Testbed and Evaluation\n## Globally Distributed Starlink Performance Testbed\n## BBR-v3 Comparison Across Multiple CCAs and Network Conditions\n# Modeling and Analysis\n## Fluid Model for BBR-v3 Congestion Window\n## Queuing Analysis and Fairness Evaluation\n# Conclusion","[{\"question\":\"What key mechanism does BBR use compared with loss-based TCP congestion control?\",\"answer\":\"BBR models bottleneck bandwidth and propagation delay directly, rather than relying on loss signals. This design aims to improve throughput while accounting for round-trip characteristics.\"},{\"question\":\"Why is BBR-v3 relevant for heterogeneous network conditions?\",\"answer\":\"BBR-v3 refines probing and pacing strategies to optimize throughput, latency, and fairness under diverse network dynamics. Prior versions addressed some limitations, but heterogeneous environments remain challenging.\"},{\"question\":\"How does the work evaluate BBR-v3 on Starlink Internet beyond simulations?\",\"answer\":\"It builds a globally distributed Starlink performance testbed across six cities and compares BBR-v3 against eight other congestion control algorithms under multiple network conditions. The study also includes modeling and analysis such as end-to-end failure probabilities, queuing behavior, and fairness.\"}]",1784193880,45,{"code":4,"msg":30,"data":31},"ok",{"site_id":24,"language":23,"slug":32,"title":13,"keywords":33,"description":14,"schema_data":34,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":27},"unveiling-tcp-bbr-dominance-in-starlink-internet-experimental-insights-and-analysis","",{"@graph":35,"@context":85},[36,53,68],{"@type":37,"itemListElement":38},"BreadcrumbList",[39,43,47,50],{"item":40,"name":41,"@type":42,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":44,"name":45,"@type":42,"position":46},"https://docshare.wps.com/document/","Document",2,{"item":48,"name":12,"@type":42,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":42,"position":52},"https://docshare.wps.com/document/unveiling-tcp-bbr-dominance-in-starlink-internet-experimental-insights-and-analysis/84198/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":23,"description":14,"dateModified":61,"datePublished":62,"encodingFormat":60,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":40,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-07-17","2026-07-16",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What key mechanism does BBR use compared with loss-based TCP congestion control?","Question",{"text":75,"@type":76},"BBR models bottleneck bandwidth and propagation delay directly, rather than relying on loss signals. This design aims to improve throughput while accounting for round-trip characteristics.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Why is BBR-v3 relevant for heterogeneous network conditions?",{"text":80,"@type":76},"BBR-v3 refines probing and pacing strategies to optimize throughput, latency, and fairness under diverse network dynamics. Prior versions addressed some limitations, but heterogeneous environments remain challenging.",{"name":82,"@type":73,"acceptedAnswer":83},"How does the work evaluate BBR-v3 on Starlink Internet beyond simulations?",{"text":84,"@type":76},"It builds a globally distributed Starlink performance testbed across six cities and compares BBR-v3 against eight other congestion control algorithms under multiple network conditions. The study also includes modeling and analysis such as end-to-end failure probabilities, queuing behavior, and fairness.","https://schema.org",{"og:url":51,"og:type":87,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":89,"canonical":51},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":45,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":46,"doc_module":4,"doc_module_name":45,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":52,"doc_module":4,"doc_module_name":45,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":45,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":45,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":45,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":45,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":45,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":45,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":45,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":45,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]