Andrea Fendt, Simon Lohmuller, L. Schmelz, B. Bauer
{"title":"A Network Slice Resource Allocation and Optimization Model for End-to-End Mobile Networks","authors":"Andrea Fendt, Simon Lohmuller, L. Schmelz, B. Bauer","doi":"10.1109/5GWF.2018.8517075","DOIUrl":null,"url":null,"abstract":"With the fifth generation of mobile networks (5G) diverse new use cases arise, including enhanced Mobile Broadband (eMBB), industrial and sensor networks as well as highly safety and security critical communication services. These new use cases introduce very different requirements on the mobile communication networks, e.g., network reliability, latency and throughput. Massive network virtualization and end-to-end mobile network slicing are seen as key enablers to handle those differing requirements and providing mobile network services for the various 5G use cases by a shared physical network infrastructure. However, resource allocation and mobile network slice embedding are still unsolved problems. Therefore, in this paper a standardized and easy to understand Integer Linear Program for offline mobile network slice embedding, especially focusing on resource allocation and virtual node as well as link mapping, will be presented. Moreover, the question of how to efficiently determine a nearly optimal end-to-end mobile network slice embedding on a shared network infrastructure will be answered.","PeriodicalId":440445,"journal":{"name":"2018 IEEE 5G World Forum (5GWF)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 5G World Forum (5GWF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/5GWF.2018.8517075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
With the fifth generation of mobile networks (5G) diverse new use cases arise, including enhanced Mobile Broadband (eMBB), industrial and sensor networks as well as highly safety and security critical communication services. These new use cases introduce very different requirements on the mobile communication networks, e.g., network reliability, latency and throughput. Massive network virtualization and end-to-end mobile network slicing are seen as key enablers to handle those differing requirements and providing mobile network services for the various 5G use cases by a shared physical network infrastructure. However, resource allocation and mobile network slice embedding are still unsolved problems. Therefore, in this paper a standardized and easy to understand Integer Linear Program for offline mobile network slice embedding, especially focusing on resource allocation and virtual node as well as link mapping, will be presented. Moreover, the question of how to efficiently determine a nearly optimal end-to-end mobile network slice embedding on a shared network infrastructure will be answered.