Xiaomeng Zhu, Yuting Zheng, Bei Li, Yi Li, Yuchao Jin, Rui Xia, Lexi Xu, Zixiang Di, Xinzhou Cheng
{"title":"Research on 5G Network Evaluation Method Base on Perceptual Peer to Peer","authors":"Xiaomeng Zhu, Yuting Zheng, Bei Li, Yi Li, Yuchao Jin, Rui Xia, Lexi Xu, Zixiang Di, Xinzhou Cheng","doi":"10.1109/BMSB58369.2023.10211577","DOIUrl":null,"url":null,"abstract":"The introduction of co-construction and sharing makes the network structure increasingly complex. The 5G network should meet the business needs of both operators. How to evaluate the network perception of both users more comprehensively has become a new challenge. This paper proposes a 5G network evaluation method based on perceptual peer-to-peer. The big data modeling is used to determine the judgment criteria for perceived peer-to-peer, and the difference ranking is selected to intuitively reflect difference degree of the area where the community to be evaluated is located. This research can intuitively reflect the perception equivalence of different regions and the contribution of different indicators, and provide an objective basis for subsequent targeted network optimization and adjustment.","PeriodicalId":13080,"journal":{"name":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","volume":"118 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE international Symposium on Broadband Multimedia Systems and Broadcasting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BMSB58369.2023.10211577","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The introduction of co-construction and sharing makes the network structure increasingly complex. The 5G network should meet the business needs of both operators. How to evaluate the network perception of both users more comprehensively has become a new challenge. This paper proposes a 5G network evaluation method based on perceptual peer-to-peer. The big data modeling is used to determine the judgment criteria for perceived peer-to-peer, and the difference ranking is selected to intuitively reflect difference degree of the area where the community to be evaluated is located. This research can intuitively reflect the perception equivalence of different regions and the contribution of different indicators, and provide an objective basis for subsequent targeted network optimization and adjustment.