An Enhanced Frequency Scaling Model forMillimeter-Wave Rain Attenuation in TropicalSatellite Links with Pseudo-code Implementation

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This paper studies prediction of heavy rain attenuation for millimeter-wave tropical satellite links, focusing on frequencies above 10 GHz where existing models like ITU-R P.618—built largely on temperate-region data—underperform. Using multi-year Ku- and Ka-band beacon observations from Malaysia to empirically develop an enhanced frequency scaling model, the authors validate it with independent datasets from Malaysia and Nigeria, reporting RMSE of 2.8 dB and average percentage error of 11.3%, which they describe as an 80–90% improvement over ITU-R frequency scaling methods. The paper’s key limitation is that it is a preprint and not yet peer reviewed, despite being presented as a practical pseudocode approach for link-budget and fade-margin planning without requiring local rainfall-rate measurements. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Heavy and frequent tropical rainfall severely degrades millimetre-wave satellite communications (SatCom), particularly for frequencies above10GHz used by modern high-throughput satellites and 5G backhaul. Existingprediction models, such as ITU-R P.618, are primarily derived from temperate-region data and often underperform in tropical environments. This paper pro-poses an enhanced frequency scaling model for rain attenuation prediction,capable of estimating fade margins without reliance on local rainfall rate mea-surements. The model is empirically developed using multi-year Ku- and Ka-band beacon data from Malaysia, and validated with independent datasetsfrom Malaysia and Nigeria. Results show significant performance improve-ments, achieving a Root Mean Square Error (RMSE) of 2.8dB and an averagepercentage error of 11.3%, representing an 80–90% improvement over ITU-Rfrequency scaling methods. Practical pseudocode is provided for direct imple-mentation in satellite link budget and fade mitigation planning. The modelenables precise fade margin estimation, improving the resilience of tropicalmillimetre-wave SatCom links and supporting future 5G and broadband appli-cations. By ensuring consistent Quality of Service (QoS) during heavy precipi-tation, the new model facilitates robust and cost-effective satellite connectivityin tropical climates.
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An Enhanced Frequency Scaling Model forMillimeter-Wave Rain Attenuation in TropicalSatellite Links with Pseudo-code Implementation | 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 Research Article An Enhanced Frequency Scaling Model forMillimeter-Wave Rain Attenuation in TropicalSatellite Links with Pseudo-code Implementation Nur Hanis Sabrina Suhaimi, Ahmad Fadzil Ismail, Khairayu Badron, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7423714/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 27 Apr, 2026 Read the published version in Journal of Infrared, Millimeter, and Terahertz Waves → Version 1 posted 11 You are reading this latest preprint version Abstract Heavy and frequent tropical rainfall severely degrades millimetre-wave satellite communications (SatCom), particularly for frequencies above10GHz used by modern high-throughput satellites and 5G backhaul. Existingprediction models, such as ITU-R P.618, are primarily derived from temperate-region data and often underperform in tropical environments. This paper pro-poses an enhanced frequency scaling model for rain attenuation prediction,capable of estimating fade margins without reliance on local rainfall rate mea-surements. The model is empirically developed using multi-year Ku- and Ka-band beacon data from Malaysia, and validated with independent datasetsfrom Malaysia and Nigeria. Results show significant performance improve-ments, achieving a Root Mean Square Error (RMSE) of 2.8dB and an averagepercentage error of 11.3%, representing an 80–90% improvement over ITU-Rfrequency scaling methods. Practical pseudocode is provided for direct imple-mentation in satellite link budget and fade mitigation planning. The modelenables precise fade margin estimation, improving the resilience of tropicalmillimetre-wave SatCom links and supporting future 5G and broadband appli-cations. By ensuring consistent Quality of Service (QoS) during heavy precipi-tation, the new model facilitates robust and cost-effective satellite connectivityin tropical climates. Rain attenuation millimeter waves frequency scaling satellite communication tropical regions Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 27 Apr, 2026 Read the published version in Journal of Infrared, Millimeter, and Terahertz Waves → Version 1 posted Editorial decision: Revision requested 06 Jan, 2026 Reviews received at journal 13 Sep, 2025 Reviews received at journal 12 Sep, 2025 Reviews received at journal 08 Sep, 2025 Reviewers agreed at journal 04 Sep, 2025 Reviewers agreed at journal 03 Sep, 2025 Reviewers agreed at journal 02 Sep, 2025 Reviewers invited by journal 02 Sep, 2025 Editor assigned by journal 28 Aug, 2025 Submission checks completed at journal 28 Aug, 2025 First submitted to journal 21 Aug, 2025 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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