Power Control Scheme of Reconfigurable Intelligent Surface-Assisted Wireless Communication System Based on Millimeter-Wave Radar

Power Control Scheme of Reconfigurable Intelligent Surface-Assisted Wireless Communication System Based on Millimeter-Wave Radar | 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 Power Control Scheme of Reconfigurable Intelligent Surface-Assisted Wireless Communication System Based on Millimeter-Wave Radar Luo Wenyu, Xuan Annan, Yan Tianze, Shao Xia This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5450751/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 03 Jul, 2025 Read the published version in Signal, Image and Video Processing → Version 1 posted 11 You are reading this latest preprint version Abstract To address the problem of excessive communication system overhead caused by high path loss, low scattering, and frequent switching of high-band communication in complex dynamic wireless environments, a reconfigurable intelligent surface (RIS)-assisted wireless communication system power control scheme based on frequency-modulated continuous-wave millimeter-wave radar (FMCW) is proposed. This paper proposes a power optimization scheme that senses dynamic users and characterizes dynamic environments.The FMCW radar is used to perceive the user and obtains dynamic position information about the user. To maximize the expectation of the signal-to-noise ratio (SNR) of the communication, the upper bound of the system interruption probability is obtained by analysing the effect of the user's location on the system reliability. Moreover, considering the influence of the multipath effect on the system gain, a geometric channel model is established to better reflect the dynamic environment under the multipath effect. Subsequently, while conforming to the constraints of the communication system, the power optimization method based on the binary search algorithm was adopted. Finally, the influence of the FMCW radar perception error on the power control results was analysed, and the error value of the power required for transmission by the base station was 0.4-0.5 dB within the error range. The simulation and analysis results show that the power required for base station transmission obtained using the proposed scheme is approximately 4 dB, which can effectively reduce the power required for system base station transmission. Reconfigurable Intelligent Surfaces Millimeter-wave Radar Integrated Sensing and Communication Multipath Effect Power Control Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 03 Jul, 2025 Read the published version in Signal, Image and Video Processing → Version 1 posted Editorial decision: Revision requested 03 Mar, 2025 Reviews received at journal 02 Mar, 2025 Reviews received at journal 02 Mar, 2025 Reviews received at journal 19 Feb, 2025 Reviewers agreed at journal 20 Jan, 2025 Reviewers agreed at journal 16 Jan, 2025 Reviewers agreed at journal 07 Jan, 2025 Reviewers invited by journal 20 Nov, 2024 Editor assigned by journal 14 Nov, 2024 Submission checks completed at journal 14 Nov, 2024 First submitted to journal 13 Nov, 2024 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. 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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-5450751","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":388981656,"identity":"a2cbabd5-e36f-4ab9-9471-e58ec441f367","order_by":0,"name":"Luo 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