{"title":"Application of 5G-Based Mobile Communication Technology in Network Resource Scheduling","authors":"Mengfan Liang, Xingjuan Wang","doi":"10.1109/ICSGEA.2019.00031","DOIUrl":null,"url":null,"abstract":"To improve the system throughput of the user-level resource scheduling algorithm, a slice-level scheduling algorithm is proposed based on the requirements of wireless network slicing technology and the definition of functional scenarios. The slicing characteristics of the user are taken as the priority measurement factor of the user, and PF algorithm is used to improve the priority calculation method of user scheduling. The fairness performance of the algorithm is evaluated according to the user satisfaction. Such algorithm can achieve the effect of improving user satisfaction, and improve the average user satisfaction compared to PF algorithm.","PeriodicalId":201721,"journal":{"name":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","volume":"28 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Smart Grid and Electrical Automation (ICSGEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSGEA.2019.00031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
To improve the system throughput of the user-level resource scheduling algorithm, a slice-level scheduling algorithm is proposed based on the requirements of wireless network slicing technology and the definition of functional scenarios. The slicing characteristics of the user are taken as the priority measurement factor of the user, and PF algorithm is used to improve the priority calculation method of user scheduling. The fairness performance of the algorithm is evaluated according to the user satisfaction. Such algorithm can achieve the effect of improving user satisfaction, and improve the average user satisfaction compared to PF algorithm.