Federated Tomlinson-Harashima Precoding with Common Reference Transformation for MIMO Systems in Wi-Fi 6

Federated Tomlinson-Harashima Precoding with Common Reference Transformation for MIMO Systems in Wi-Fi 6 | 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 Federated Tomlinson-Harashima Precoding with Common Reference Transformation for MIMO Systems in Wi-Fi 6 Bonny Mgawe, Twahir Kazema This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7670291/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This paper proposes a Federated Tomlinson-Harashima Precoding (F-THP) framework for multiuser MIMO systems under a Wi-Fi 6 architecture. Unlike traditional centralized THP, which requires full channel state information (CSI) from all access points (APs) and involves transmitting large matrices over the backhaul, this paper proposes a federated model that enables distributed channel knowledge processing at edge devices. Local channel updates are aligned through Gram-Schmidt transformation into a common basis before aggregation, reducing communication overhead by up to 25% compared to centralized THP. Simulation results demonstrate that F-THP achieves comparable bit error rate (BER) performance to centralized THP under Rayleigh fading while offering scalability and privacy advantages. Specifically, F-THP shares only transformed subspace components instead of raw channel matrices, ensuring that up to 25% of sensitive CSI data remains confidential. This makes F-THP particularly suitable for real-time Wi-Fi 6 operation in enterprise and IoT edge environments. Tomlinson-Harashima Precoding Federated Learning MIMO Wi-Fi Gram-Schmidt BER Decentralized Precoding Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. 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-7670291","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":524830040,"identity":"60b5584f-8980-4c27-a3b3-66d458d43f99","order_by":0,"name":"Bonny 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