{"title":"Multi-Tier Multi-Domain Network Slicing: A Resource Allocation Perspective","authors":"S. Oladejo, S. Ekwe, L. Akinyemi","doi":"10.1109/africon51333.2021.9570854","DOIUrl":null,"url":null,"abstract":"This paper addresses the dynamic resource allocation in a multi-slice multi-tier multi-domain based network with different network players. The dynamic resource allocation problem is formulated as a maximum utility optimisation problem from multi-player multi-domain perspective. Furthermore, a 3-level hierarchical business model comprising infrastructure providers (InPs), mobile virtual network operators (MVNO), service providers (SP) and slice users is investigated. We propose a multi-tier multi-domain slice user matching game and a distributed backtracking multi-player multi-domain game schemes in solving the transformed maximum utility optimisation problem. We compare the multi-tier multi-tenant multi-domain game scheme with a genetic algorithm (GA) intelligent latency- aware resource allocation scheme (GI-LARE) and, a static slicing resource allocation scheme via Monte Carlo simulation. Our findings reveal that the proposed scheme outperforms these other schemes.","PeriodicalId":170342,"journal":{"name":"2021 IEEE AFRICON","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE AFRICON","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/africon51333.2021.9570854","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
This paper addresses the dynamic resource allocation in a multi-slice multi-tier multi-domain based network with different network players. The dynamic resource allocation problem is formulated as a maximum utility optimisation problem from multi-player multi-domain perspective. Furthermore, a 3-level hierarchical business model comprising infrastructure providers (InPs), mobile virtual network operators (MVNO), service providers (SP) and slice users is investigated. We propose a multi-tier multi-domain slice user matching game and a distributed backtracking multi-player multi-domain game schemes in solving the transformed maximum utility optimisation problem. We compare the multi-tier multi-tenant multi-domain game scheme with a genetic algorithm (GA) intelligent latency- aware resource allocation scheme (GI-LARE) and, a static slicing resource allocation scheme via Monte Carlo simulation. Our findings reveal that the proposed scheme outperforms these other schemes.