A Utility Function-Optimized Price Matching Algorithm for Multi-User Spectrum Trading

A Utility Function-Optimized Price Matching Algorithm for Multi-User Spectrum Trading | 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 Utility Function-Optimized Price Matching Algorithm for Multi-User Spectrum Trading Yi Chen, Jinrui Tang, Xuelin Du, Zichao Chang, Lei Zhou This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7412835/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 To achieve the rational allocation and efficient utilization of wireless network spectrum resources, a multi-user spectrum trading algorithm based on the price matching optimal utility function is proposed in this paper. In the proposed method, the communication base stations are as the intermediaries for spectrum trading and allocation, the reasonable buyer and seller utility functions are designed firstly, and optimized them by the price matching theory, the maximum utility value can be further obtained. Secondly, the spectral price range is derived based on the optimization utility functions of both the buyer and seller. And then the reasonable trading rules are be established. This can enable both buyers and sellers to follow the transaction rules during the spectrum resource trading process, and achieve their respective desired ideal prices. This also ensures the rational use of wireless network spectrum resources simultaneously. Finally, the simulation results have verified the effectiveness of spectrum trading based on optimizing price matching utility function constraints, and both buyers and sellers can obtain the best returns, and this further proves the efficiency of the algorithm in achieving optimal allocation of network spectrum resources. Physical sciences/Engineering Physical sciences/Mathematics and computing Price Matching Utility Function Spectrum Trading Fitting Analysis 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-7412835","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":526690849,"identity":"21e1c20b-16c3-4562-9dd9-5e8796c2ee3f","order_by":0,"name":"Yi 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Trading","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":"Price Matching, Utility Function, Spectrum Trading, Fitting 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