Research on UAV-NOMA communication system based on improved grey wolf optimization algorithm

Research on UAV-NOMA communication system based on improved grey wolf optimization algorithm | 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 Research on UAV-NOMA communication system based on improved grey wolf optimization algorithm Xiaojuan Bai, Shenghui Wang, Jingwen Ma, Jing Xu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4002745/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 Considering that UAVs, serving as base stations, can enhance the flexibility of communication system transmission, reduce transmission delays, and provide temporary communication, this paper proposes a NOMA-assisted UAV downlink communication network model in a Rice fading channel, which is more suitable for air-to-ground transmission. The joint optimization of UAV three-dimensional trajectory, pitch angle, and user clustering is studied to improve the sum rate of the communication system. Among these, clustering users within different time intervals of UAV flight can lead to three scenarios: increasing, reducing, and replacing the number of users. Addressing the issue of nonlinear programming, this paper proposes an improved algorithm that combines the grey wolf optimization algorithm and the particle swarm optimization algorithm to overcome the insufficient global search ability of the grey wolf optimization algorithm. Simulation results show that the GWOPSO algorithm has a better convergence speed and accuracy, and the system also exhibits improved sum rate performance. Rice fading channel three-dimensional trajectory of UAV pitch angle user clustering GWOPSO algorithm 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-4002745","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":277424690,"identity":"9fd81d5d-c42c-41bc-9e85-3b0811a62952","order_by":0,"name":"Xiaojuan Bai","email":"","orcid":"","institution":"Northwest Normal University","correspondingAuthor":false,"prefix":"","firstName":"Xiaojuan","middleName":"","lastName":"Bai","suffix":""},{"id":277424691,"identity":"3b77c34a-0cb8-41b5-a2f1-beff6ceffbbc","order_by":1,"name":"Shenghui Wang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAxklEQVRIiWNgGAWjYBAC+/bmAwc+8LDJ2R9vIFKLAc+xxIczZPiMGc4cIFaLRI6yMY+NXGLDjQQitZhL5LBJ8+SYGTPOfLzxBkONTTRBLZY9b49JzjmTJscsnVZswXAsLbeBoJ7jeWkSb3uOGbNJ55hJMDYcJkLLAaBK3n//E3skzxCpxeBEjrEhDw9b4gwJHiK1SPaAApmHzdiAB+iXBGL8ws8OjUoD9sMbb3yosSHCL8iOlEggRTlEC6k6RsEoGAWjYGQAALphQHIIQAdPAAAAAElFTkSuQmCC","orcid":"","institution":"Northwest Normal University","correspondingAuthor":true,"prefix":"","firstName":"Shenghui","middleName":"","lastName":"Wang","suffix":""},{"id":277424692,"identity":"56b9bc34-9954-4ac6-8108-6b5a50028838","order_by":2,"name":"Jingwen Ma","email":"","orcid":"","institution":"Northwest Normal University","correspondingAuthor":false,"prefix":"","firstName":"Jingwen","middleName":"","lastName":"Ma","suffix":""},{"id":277424693,"identity":"0d876e1b-1929-471c-8329-68d9367fc61e","order_by":3,"name":"Jing Xu","email":"","orcid":"","institution":"Northwest Normal University","correspondingAuthor":false,"prefix":"","firstName":"Jing","middleName":"","lastName":"Xu","suffix":""}],"badges":[],"createdAt":"2024-03-01 09:25:09","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4002745/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4002745/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":63739908,"identity":"260126e7-3a59-4494-97a6-93382315df5f","added_by":"auto","created_at":"2024-09-01 20:45:48","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":546975,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscriptfile.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4002745/v1_covered_0121b9b2-b44d-4940-8c19-1763545b138e.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on UAV-NOMA communication system based on improved grey wolf optimization algorithm","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Rice fading channel, three-dimensional trajectory of UAV, pitch angle, user clustering, GWOPSO algorithm","lastPublishedDoi":"10.21203/rs.3.rs-4002745/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4002745/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eConsidering that UAVs, serving as base stations, can enhance the flexibility of communication system transmission, reduce transmission delays, and provide temporary communication, this paper proposes a NOMA-assisted UAV downlink communication network model in a Rice fading channel, which is more suitable for air-to-ground transmission. 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