Jing Jiang, Peizhe Xin, Jun Li, Liu Han, Bin Hou, Lixin He
{"title":"多业务智能电网下5G网络资源分配算法研究","authors":"Jing Jiang, Peizhe Xin, Jun Li, Liu Han, Bin Hou, Lixin He","doi":"10.1109/ICCCS52626.2021.9449187","DOIUrl":null,"url":null,"abstract":"A two-tier 5g resource allocation model for shared network structure, multi-service, and multi-scenario is proposed. The upper layer is an auction-based network resource allocation algorithm, to maximize the social benefits of auction participants. It will convert users' service requests into corresponding bidding information according to business types and models the slice resource allocation problem as an online winner determination problem based on multi-business. The lower level is to distribute the resources obtained from the upper level to the users of the three scenarios of the smart grid, taking the users' requirements as the primary consideration. While allocating network resources, the iteration method is adopted to avoid resource waste caused by resource allocation exceeding demand. The simulation results show that the proposed architecture has a better performance in social benefits and user satisfaction.","PeriodicalId":376290,"journal":{"name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Research on Resource Allocation Algorithm of 5G Network in Multi-Business Smart Grid\",\"authors\":\"Jing Jiang, Peizhe Xin, Jun Li, Liu Han, Bin Hou, Lixin He\",\"doi\":\"10.1109/ICCCS52626.2021.9449187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A two-tier 5g resource allocation model for shared network structure, multi-service, and multi-scenario is proposed. The upper layer is an auction-based network resource allocation algorithm, to maximize the social benefits of auction participants. It will convert users' service requests into corresponding bidding information according to business types and models the slice resource allocation problem as an online winner determination problem based on multi-business. The lower level is to distribute the resources obtained from the upper level to the users of the three scenarios of the smart grid, taking the users' requirements as the primary consideration. While allocating network resources, the iteration method is adopted to avoid resource waste caused by resource allocation exceeding demand. The simulation results show that the proposed architecture has a better performance in social benefits and user satisfaction.\",\"PeriodicalId\":376290,\"journal\":{\"name\":\"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCS52626.2021.9449187\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCS52626.2021.9449187","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Resource Allocation Algorithm of 5G Network in Multi-Business Smart Grid
A two-tier 5g resource allocation model for shared network structure, multi-service, and multi-scenario is proposed. The upper layer is an auction-based network resource allocation algorithm, to maximize the social benefits of auction participants. It will convert users' service requests into corresponding bidding information according to business types and models the slice resource allocation problem as an online winner determination problem based on multi-business. The lower level is to distribute the resources obtained from the upper level to the users of the three scenarios of the smart grid, taking the users' requirements as the primary consideration. While allocating network resources, the iteration method is adopted to avoid resource waste caused by resource allocation exceeding demand. The simulation results show that the proposed architecture has a better performance in social benefits and user satisfaction.