Deborsi Basu, Addanki Sankara Rao, Uttam Ghosh, R. Datta
{"title":"Realization of a Techno-Economic Controller Deployment Architecture for vSDN Enabled 5G Networks","authors":"Deborsi Basu, Addanki Sankara Rao, Uttam Ghosh, R. Datta","doi":"10.1145/3427477.3429991","DOIUrl":null,"url":null,"abstract":"5th Generation of Wireless Communication Networks (5G) are targeting to fulfill all the service demands of end-users in a cost-effective manner. It is becoming extremely challenging to provide optimum end-to-end network services within a restricted resource environment. Telecommunication Service Providers (TSPs) face huge trouble to minimize the network deployment cost to cover more users by increasing the network coverage area. Software Defined Networking (SDN) and Network Function Virtualization (NFV) are two key technology enablers that can improve the techno-economic scenarios for next generation telecommunication networks. In this work, we have formulated a unique load & latency aware cost-effective controller placement algorithm (ICDA – Intelligent Controller Deployment Algorithm) that can successfully reduce the cost of CAPEX (Capital Expenditure), OPEX (Operational Expenditure), and TCO (Total Cost of Ownership) of 5G networks using the concept of Virtualized Software Defined Networking (vSDN). Seamless connectivity in Ultra-Low Latency (ULL) is one of the key features of 5G. That is why we further optimize the model based on network latency and traffic load demand of the UEs (User Entities). Using comparative graphical analysis, it has been demonstrated that our proposed algorithm shows significant cost reduction in the 5G network as compared to existing current days networks. The cost-efficient controller deployment algorithm also takes care of all other critical network constraints and makes this approach very efficient for TSPs.","PeriodicalId":435827,"journal":{"name":"Adjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Adjunct Proceedings of the 2021 International Conference on Distributed Computing and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3427477.3429991","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
5th Generation of Wireless Communication Networks (5G) are targeting to fulfill all the service demands of end-users in a cost-effective manner. It is becoming extremely challenging to provide optimum end-to-end network services within a restricted resource environment. Telecommunication Service Providers (TSPs) face huge trouble to minimize the network deployment cost to cover more users by increasing the network coverage area. Software Defined Networking (SDN) and Network Function Virtualization (NFV) are two key technology enablers that can improve the techno-economic scenarios for next generation telecommunication networks. In this work, we have formulated a unique load & latency aware cost-effective controller placement algorithm (ICDA – Intelligent Controller Deployment Algorithm) that can successfully reduce the cost of CAPEX (Capital Expenditure), OPEX (Operational Expenditure), and TCO (Total Cost of Ownership) of 5G networks using the concept of Virtualized Software Defined Networking (vSDN). Seamless connectivity in Ultra-Low Latency (ULL) is one of the key features of 5G. That is why we further optimize the model based on network latency and traffic load demand of the UEs (User Entities). Using comparative graphical analysis, it has been demonstrated that our proposed algorithm shows significant cost reduction in the 5G network as compared to existing current days networks. The cost-efficient controller deployment algorithm also takes care of all other critical network constraints and makes this approach very efficient for TSPs.