{"title":"Design and Implementation of Intelligent Digital Media Interaction System Based on 6G Network Slicing","authors":"Na Liu","doi":"10.1002/nem.70011","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Rapid growth in intelligent digital media interaction systems (IDMIS) has created new difficulties in controlling and optimizing content distribution and engagement, especially with the impending 6G networks. The purpose of the investigate is to create an intelligent system that uses 6G network slicing to increase digital media communication and user experience through seamless connectivity, dynamic content distribution, and real-time engagement. The structure includes a dynamic, multilayered architecture for IDMIS, and network capital is allocated through 6G network slicing based on user demand and content type. The system includes machine learning (ML) algorithms that predict user behavior and optimize media delivery in real time. To correctly predict user behavior, the research gathers data that capture users' performance and preference (historical interaction data, demographics, contextual data, and user feedback). Once collected, data are processed to reduce dimensionality using principal component analysis (PCA). Refined Support Vector Machine Integrated with Flying Fox Optimization (RSVM-FFO) predicts user behavior and optimizes media delivery in real time. Metrics are used to evaluate the RSVM-FFO approach, such as F1-score (98.12%), accuracy (98.59%), precision (98.57%), and recall (98.17%). The results reveal that the suggested systems considerably improve media interaction effectiveness by reducing latency and bandwidth usage while providing a highly responsive user experience. Finally, advancement in the delivery of high-performance, customized media services is the combination of an IDMIS with 6G network slicing.</p>\n </div>","PeriodicalId":14154,"journal":{"name":"International Journal of Network Management","volume":"35 2","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Network Management","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/nem.70011","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Rapid growth in intelligent digital media interaction systems (IDMIS) has created new difficulties in controlling and optimizing content distribution and engagement, especially with the impending 6G networks. The purpose of the investigate is to create an intelligent system that uses 6G network slicing to increase digital media communication and user experience through seamless connectivity, dynamic content distribution, and real-time engagement. The structure includes a dynamic, multilayered architecture for IDMIS, and network capital is allocated through 6G network slicing based on user demand and content type. The system includes machine learning (ML) algorithms that predict user behavior and optimize media delivery in real time. To correctly predict user behavior, the research gathers data that capture users' performance and preference (historical interaction data, demographics, contextual data, and user feedback). Once collected, data are processed to reduce dimensionality using principal component analysis (PCA). Refined Support Vector Machine Integrated with Flying Fox Optimization (RSVM-FFO) predicts user behavior and optimizes media delivery in real time. Metrics are used to evaluate the RSVM-FFO approach, such as F1-score (98.12%), accuracy (98.59%), precision (98.57%), and recall (98.17%). The results reveal that the suggested systems considerably improve media interaction effectiveness by reducing latency and bandwidth usage while providing a highly responsive user experience. Finally, advancement in the delivery of high-performance, customized media services is the combination of an IDMIS with 6G network slicing.
期刊介绍：
Modern computer networks and communication systems are increasing in size, scope, and heterogeneity. The promise of a single end-to-end technology has not been realized and likely never will occur. The decreasing cost of bandwidth is increasing the possible applications of computer networks and communication systems to entirely new domains. Problems in integrating heterogeneous wired and wireless technologies, ensuring security and quality of service, and reliably operating large-scale systems including the inclusion of cloud computing have all emerged as important topics. The one constant is the need for network management. Challenges in network management have never been greater than they are today. The International Journal of Network Management is the forum for researchers, developers, and practitioners in network management to present their work to an international audience. The journal is dedicated to the dissemination of information, which will enable improved management, operation, and maintenance of computer networks and communication systems. The journal is peer reviewed and publishes original papers (both theoretical and experimental) by leading researchers, practitioners, and consultants from universities, research laboratories, and companies around the world. Issues with thematic or guest-edited special topics typically occur several times per year. Topic areas for the journal are largely defined by the taxonomy for network and service management developed by IFIP WG6.6, together with IEEE-CNOM, the IRTF-NMRG and the Emanics Network of Excellence.
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