STARJSCC: A Star-Operation Modulation Network for Wireless Image Transmission

STARJSCC: A Star-Operation Modulation Network for Wireless Image Transmission | 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 STARJSCC: A Star-Operation Modulation Network for Wireless Image Transmission Xiangcheng Li, Dongri Ban, Zhaokai Ruan, Xiuyu Yue, Haiqiang Chen, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6680743/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 24 Aug, 2025 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract In recent years, semantic communication based on deep joint source-channel coding (DEEPJSCC) has been demonstrated and widely investigated. However, existing DEEPJSCC schemes suffer from low efficiency in mining latent semantic representations, as well as large model size, high computational complexity, and redundant parameters. To address these issues, we meticulously establish a lightweight DEEPJSCC framework for wireless image semantic transmission, termed STARJSCC. The proposed method, by incorporating an improved channel state adaptive module (CSA Mod) and semantic compression (SC) masking algorithm, enables dynamic adjustment of the transmission scheme within a single model to accommodate varying channel states and transmission rates. Experimental results show that the STARJSCC framework outperforms other baseline schemes in terms of performance and adaptability across various transmission rates and signal-to-noise ratio (SNR) levels, achieving up to 2.73 dB improvement on high-resolution test set. Moreover, this solution significantly reduces model parameters, computational complexity, and storage overhead, providing a potential solution for high-quality wireless image transmission in resource-constrained scenarios. Physical sciences/Mathematics and computing/Information technology Physical sciences/Physics/Information theory and computation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 24 Aug, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 16 Jun, 2025 Reviews received at journal 14 Jun, 2025 Reviews received at journal 14 Jun, 2025 Reviewers agreed at journal 04 Jun, 2025 Reviewers agreed at journal 04 Jun, 2025 Reviewers invited by journal 04 Jun, 2025 Editor assigned by journal 04 Jun, 2025 Editor invited by journal 29 May, 2025 Submission checks completed at journal 29 May, 2025 First submitted to journal 16 May, 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. 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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-6680743","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":466910483,"identity":"1fac9f83-a9c9-4f1f-bc7d-f6945ac30f9b","order_by":0,"name":"Xiangcheng Li","email":"","orcid":"","institution":"Guangxi University","correspondingAuthor":false,"prefix":"","firstName":"Xiangcheng","middleName":"","lastName":"Li","suffix":""},{"id":466910484,"identity":"3449a01b-89c6-414f-8d1a-51dda0e0f7e3","order_by":1,"name":"Dongri Ban","email":"","orcid":"","institution":"Guangxi University","correspondingAuthor":false,"prefix":"","firstName":"Dongri","middleName":"","lastName":"Ban","suffix":""},{"id":466910485,"identity":"2fb91b64-2469-4d89-ad9e-ef604d0ebbf9","order_by":2,"name":"Zhaokai Ruan","email":"","orcid":"","institution":"Guangxi University","correspondingAuthor":false,"prefix":"","firstName":"Zhaokai","middleName":"","lastName":"Ruan","suffix":""},{"id":466910486,"identity":"f51547f6-a9c7-474f-9d8a-e8e85b8c2d7f","order_by":3,"name":"Xiuyu Yue","email":"","orcid":"","institution":"Guangxi University","correspondingAuthor":false,"prefix":"","firstName":"Xiuyu","middleName":"","lastName":"Yue","suffix":""},{"id":466910487,"identity":"d11ccd44-2f9c-4bf6-ae85-aec7170fd067","order_by":4,"name":"Haiqiang Chen","email":"","orcid":"","institution":"Guangxi University","correspondingAuthor":false,"prefix":"","firstName":"Haiqiang","middleName":"","lastName":"Chen","suffix":""},{"id":466910488,"identity":"086cf42a-5239-4601-b7c8-940d9843fa83","order_by":5,"name":"Youming Sun","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAuElEQVRIiWNgGAWjYNCCCgglQYKWMyRrYWwjRYvBtePPpAvn1SZuOMB88DYPg10eYS23c8ykZ247bmxwgC3ZmochuZgYLWzSvNuOyRkc4DGT5mE4kNhAWEv6M2neOcd4DA7wfyNWS4KZNG9DDcgWNuK0SN7OMbbmOXbAWPIwm7HlHINkwlr4bqc/vM1TU5fYd7z54Y03FXaEtSgcAFOHGRiYwe4kpB4I5CGG1hGhdBSMglEwCkYsAACpsTkZcz6PUAAAAABJRU5ErkJggg==","orcid":"","institution":"Guangxi University","correspondingAuthor":true,"prefix":"","firstName":"Youming","middleName":"","lastName":"Sun","suffix":""}],"badges":[],"createdAt":"2025-05-16 12:23:23","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6680743/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6680743/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-025-16753-4","type":"published","date":"2025-08-24T16:29:48+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":89847461,"identity":"223b1e3e-32d3-4b76-8ed6-16c2b6714d46","added_by":"auto","created_at":"2025-08-25 16:43:34","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":4631123,"visible":true,"origin":"","legend":"","description":"","filename":"main.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6680743/v1_covered_9f1a530c-d764-4151-8cfb-c41773d2e449.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"STARJSCC: A Star-Operation Modulation Network for Wireless Image Transmission","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-6680743/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6680743/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"In recent years, semantic communication based on deep joint source-channel coding (DEEPJSCC) has been demonstrated and widely investigated. 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