A Global Beam Placement and Resource Allocation Design for MEO-Constellation-Based Satellite Communication Systems

A Global Beam Placement and Resource Allocation Design for MEO-Constellation-Based Satellite Communication Systems | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article A Global Beam Placement and Resource Allocation Design for MEO-Constellation-Based Satellite Communication Systems Vu Nguyen Ha, Tedros Salih Abdu, Ti Ti Nguyen, Hung Nguyen Kha, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9261160/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 9 You are reading this latest preprint version Abstract Non-terrestrial networks (NTNs) are expected to become a key component of 6G by extending connectivity beyond terrestrial footprints and by improving service resilience and coverage at a global scale. In this context, medium-earth-orbit (MEO) constellations offer an attractive balance among coverage, latency, and capacity, but their large-scale and time-varying topology makes beam orchestration and radio resource management highly challenging. This paper investigates the joint design of beam placement, bandwidth allocation, and power control for large-scale MEO-based NTNs under payload resource constraints and user quality-of-service requirements. We propose a centralized three-stage framework that first clusters users into beam-service groups, then estimates cluster-specific bandwidth and power through convex optimization, and finally performs MEO-cluster matching to minimize the total power consumption of the constellation. The proposed design captures the dynamic visibility of MEO satellites and the tradeoff among beam activation, spectrum usage, and energy expenditure. Simulation results for a 15-satellite MEO constellation serving 1112 globally distributed users over 150 time slots show that the proposed method satisfies more than 97% of users while significantly reducing total power consumption compared with benchmark approaches. Cross-interference and frequency-reuse tradeoffs are also examined to highlight spectrum-sustainability aspects. These results position the proposed framework as a practical and scalable enabler for resource-efficient orchestration in 6G NTN systems. Physical sciences/Engineering Physical sciences/Mathematics and computing Non-terrestrial networks SatCom Beam Placement Resource Allocation MEO Global Connectivity Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Revision Version 1 posted Editorial decision: Revision requested 23 Apr, 2026 Reviews received at journal 19 Apr, 2026 Reviews received at journal 11 Apr, 2026 Reviewers agreed at journal 10 Apr, 2026 Reviewers agreed at journal 07 Apr, 2026 Reviewers invited by journal 07 Apr, 2026 Editor assigned by journal 03 Apr, 2026 Submission checks completed at journal 03 Apr, 2026 First submitted to journal 29 Mar, 2026 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9261160","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":617304512,"identity":"5ab7c643-f42a-4a2a-ba78-11bc29df52c8","order_by":0,"name":"Vu Nguyen 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