Research on 5G User Perception Detection and Experience Improvement Optimization Based on Capsule Network

IF 0.4 Q4 TELECOMMUNICATIONS

International Journal of Interdisciplinary Telecommunications and Networking Pub Date : 2024-02-07 DOI:10.4018/ijitn.337785

JianTong Yu, Li Li

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引用次数: 0

Abstract

COVID-19 caused a global public disaster as well as an economic crisis, and other challenges. The fifth-generation network, or 5G, connects practically every machine, person, and thing on the planet. We can analyse the public's opinions and sentiments connected to COVID-19 from 5G user-generated content on social media, which will eventually aid in promoting health intervention strategies and designing successful projects based on public perceptions. The BERT language model is first used to preprocess data that has been obtained from Sina Weibo. Following that, the features of the preprocessed data are chosen using a class-wise information technique. Finally, a capsule network (CapsNet) approach is used to identify the 5G user perception and experience optimization. Dynamic routing algorithm is used for optimizing the capsule network. By comparing the suggested framework's performance with certain existing approaches, its effectiveness is evaluated. Simulation results show that the proposed method is more accurate than previous approaches at identifying 5G user experiences.

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基于胶囊网络的 5G 用户感知检测与体验改善优化研究

COVID-19 引发了全球公共灾难、经济危机和其他挑战。第五代网络（或称 5G）几乎连接了地球上的每一台机器、每一个人和每一件事物。我们可以从社交媒体上的 5G 用户生成内容中分析与 COVID-19 相关的公众意见和情绪，这最终将有助于推广健康干预策略，并根据公众看法设计成功的项目。BERT 语言模型首先用于预处理从新浪微博获取的数据。然后，使用分类信息技术选择预处理数据的特征。最后，使用胶囊网络（CapsNet）方法来识别 5G 用户感知和体验优化。动态路由算法用于优化胶囊网络。通过比较建议框架与某些现有方法的性能，对其有效性进行了评估。仿真结果表明，在识别 5G 用户体验方面，建议的方法比以前的方法更准确。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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International Journal of Interdisciplinary Telecommunications and Networking TELECOMMUNICATIONS-

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期刊介绍： The International Journal of Interdisciplinary Telecommunications and Networking (IJITN) examines timely and important telecommunications and networking issues, problems, and solutions from a multidimensional, interdisciplinary perspective for researchers and practitioners. IJITN emphasizes the cross-disciplinary viewpoints of electrical engineering, computer science, information technology, operations research, business administration, economics, sociology, and law. The journal publishes theoretical and empirical research findings, case studies, and surveys, as well as the opinions of leaders and experts in the field. The journal''s coverage of telecommunications and networking is broad, ranging from cutting edge research to practical implementations. Published articles must be from an interdisciplinary, rather than a narrow, discipline-specific viewpoint. The context may be industry-wide, organizational, individual user, or societal. Topics Covered: -Emerging telecommunications and networking technologies -Global telecommunications industry business modeling and analysis -Network management and security -New telecommunications applications, products, and services -Social and societal aspects of telecommunications and networking -Standards and standardization issues for telecommunications and networking -Strategic telecommunications management -Telecommunications and networking cultural issues and education -Telecommunications and networking hardware and software design -Telecommunications investments and new ventures -Telecommunications network modeling and design -Telecommunications regulation and policy issues -Telecommunications systems economics