Online Caching Algorithm for VR Video Streaming in Mobile Edge Caching System

Online Caching Algorithm for VR Video Streaming in Mobile Edge Caching System | 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 Online Caching Algorithm for VR Video Streaming in Mobile Edge Caching System Qiuming Liu, Hao Chen, Zihui Li, Yaxin Bai, Dong Wu, Yang Zhou This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3166387/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 26 Jan, 2024 Read the published version in Mobile Networks and Applications → Version 1 posted You are reading this latest preprint version Abstract The transmission optimization of VR video streaming can improve the quality of user experience, which includes content prediction optimization and caching strategy optimization. Existing work either focuses on content prediction or on caching strategy. However, in the end-edge-cloud system, prediction and caching should be considered together. In this paper, we jointly optimize the four stages of prediction, caching, computing and transmission in mobile edge caching system, aimed to maximize the user's quality of experience. In terms of caching strategy, we design a caching algorithm VIE with unknown future request content, which can efficiently improve the content hit rate, as well as the durations for prediction, computing and transmission. The VIE caching algorithm is proved to be ahead of other algorithms in terms of delay. We optimize the four stages under arbitrary resource allocation and simulate the proposed caching algorithm according to the degree of overlap, as well as completion rate. Finally, under the real scenario, the proposed caching algorithm is verified by comparing with several other caching algorithms, simulation results show that the user's QoE is improved under the proposed caching algorithm. VR video streaming Joint optimization Caching algorithm Quality of experience Edge computing Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 26 Jan, 2024 Read the published version in Mobile Networks and Applications → 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. 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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-3166387","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":218319248,"identity":"e59b2d5a-e021-4cb1-acf0-ba63f2c7a696","order_by":0,"name":"Qiuming Liu","email":"","orcid":"","institution":"Jiangxi University of Science and Technology","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Qiuming","middleName":"","lastName":"Liu","suffix":""},{"id":218319249,"identity":"59769e67-7359-42f0-84cf-5ca5ff390ed9","order_by":1,"name":"Hao Chen","email":"","orcid":"","institution":"Jiangxi University of Science 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