An Empirical Study on the Countermeasures of Implementing 5G Multimedia Network Technology in College Education
Open Access
- 13 October 2021
- journal article
- research article
- Published by Hindawi Limited in Mobile Information Systems
- Vol. 2021, 1-14
- https://doi.org/10.1155/2021/2547648
Abstract
Aiming at the problem of 5G multimedia heterogeneous multimodal network representation learning, this paper proposes a collaborative multimodal heterogeneous network representation learning method based on attention mechanism. This method learns different representations for nodes based on heterogeneous network structure information and multimodal content and designs an attention mechanism to learn weights for different representations to fuse them to obtain robust node representations. Combining the general process of exploring the college physical education model and the characteristics of the multimedia network classroom environment, this article constructs the process of exploring the college physical education teaching model of the multimedia network classroom. Through the research and practice of the inquiry college physical education teaching model in the multimedia network classroom, it is verified that the implementation of the inquiry college physical education teaching in the multimedia network classroom can effectively influence and increase the students interest in learning and stimulate the students inner learning motivation. Through the guidance and training of teachers, a variety of disciplines can be used to carry out college physical education in multimedia network classrooms, so that the integration between courses can be truly realized, with the aim that all courses can share the excellent results brought by the development of modern education technology. More educators understand, accept, and participate in the practice of college physical education based on multimedia network classrooms and better serve the education of college physical education. The construction of the college physical education evaluation system should be combined with the characteristics of the 5G multimedia network era. The evaluation process includes data collection, data analysis, result output, and result feedback. Each link is an indispensable part of the college physical education evaluation process. Based on the relevant knowledge of the 5G multimedia network, the evaluation indicators determined in this study can basically reflect the various elements of the physical education process in colleges and universities. The distribution of index weight coefficients is more scientific and reasonable. Compared with the current system, the college physical education evaluation system constructed by exploration has a certain degree of objectivity and scientificity. Therefore, it is feasible to apply the 5G multimedia network to the evaluation of college physical education.Keywords
This publication has 22 references indexed in Scilit:
- Exploring Relationship Quality of User's Cloud ServiceJournal of Organizational and End User Computing, 2019
- Fog Computing for 5G Tactile Industrial Internet of Things: QoE-Aware Resource Allocation ModelIEEE Transactions on Industrial Informatics, 2019
- IEEE Access Special Section Editorial: Modeling, Analysis, AND Design OF 5G Ultra-Dense NetworksIEEE Access, 2019
- Edge Caching and Computing in 5G for Mobile AR/VR and Tactile InternetIEEE MultiMedia, 2018
- Multipoint Cooperative Transmission for Virtual Reality in 5G New RadioIEEE MultiMedia, 2018
- Cooperative Content Caching in 5G Networks with Mobile Edge ComputingIEEE Wireless Communications, 2018
- Enabling 5G verticals and services through network softwarization and slicingIEEE Communications Standards Magazine, 2018
- A Survey of Physical Layer Security Techniques for 5G Wireless Networks and Challenges AheadIEEE Journal on Selected Areas in Communications, 2018
- Physical layer security with its applications in 5G networks: A reviewChina Communications, 2017
- Efficient 5G Small Cell Planning With eMBMS for Optimal Demand Response in Smart GridsIEEE Transactions on Industrial Informatics, 2017