{"title":"An access selection mechanism in 5G network slicing","authors":"Yangguang Lu, Xin Chen, Ranran Xi, Ying Chen","doi":"10.1109/SmartIoT49966.2020.00020","DOIUrl":null,"url":null,"abstract":"The next-generation mobile communication network (5G) has alleviated the problems of increasing network business traffic and changed service requirements with new telecommunication business model. Network slicing based on Network Function Virtualization (NFV) and Software Defined Network (SDN) technologies provides key functions in 5G network. In this paper, we consider a problem of network slicing switching for mobile users in a wireless access environment. In the Radio Access Network (RAN), the mobile users’ locations need to be re-accessed resource allocation sectors of the appropriate slicing. The performance of the resource sectors will directly affect the users’ service experience. In order to solve the problem of response delay that may be caused by the network slicing switching process, we establish a general heterogeneous scenario model, and propose a slicing access mechanism based on the goal of maximizing throughput to optimize the slicing access selection problem. At the same time, we propose a slicing selection access algorithm based on genetic algorithm, designing a specific implementation scheme in actual network deployment, and we also simulate experiment on related algorithm. The result shows that the slicing selection access algorithm designed in this paper has considerable effectiveness and practicability. Under the premise of ensuring user service experience, the overall performance of the system is improved as much as possible.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"96 2 Pt 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SmartIoT49966.2020.00020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The next-generation mobile communication network (5G) has alleviated the problems of increasing network business traffic and changed service requirements with new telecommunication business model. Network slicing based on Network Function Virtualization (NFV) and Software Defined Network (SDN) technologies provides key functions in 5G network. In this paper, we consider a problem of network slicing switching for mobile users in a wireless access environment. In the Radio Access Network (RAN), the mobile users’ locations need to be re-accessed resource allocation sectors of the appropriate slicing. The performance of the resource sectors will directly affect the users’ service experience. In order to solve the problem of response delay that may be caused by the network slicing switching process, we establish a general heterogeneous scenario model, and propose a slicing access mechanism based on the goal of maximizing throughput to optimize the slicing access selection problem. At the same time, we propose a slicing selection access algorithm based on genetic algorithm, designing a specific implementation scheme in actual network deployment, and we also simulate experiment on related algorithm. The result shows that the slicing selection access algorithm designed in this paper has considerable effectiveness and practicability. Under the premise of ensuring user service experience, the overall performance of the system is improved as much as possible.
下一代移动通信网络(5G)以新的电信业务模式缓解了网络业务流量增加和业务需求变化的问题。基于NFV (Network Function Virtualization)和SDN (Software Defined Network)技术的网络切片提供了5G网络的关键功能。本文研究了无线接入环境下移动用户的网络切片交换问题。在无线接入网(RAN)中,移动用户的位置需要对重新访问的扇区进行适当的资源分配切片。资源板块的表现将直接影响用户的服务体验。为了解决网络切片交换过程可能造成的响应延迟问题,建立了通用异构场景模型,提出了基于吞吐量最大化目标的切片访问机制,以优化切片访问选择问题。同时,提出了一种基于遗传算法的切片选择接入算法,在实际网络部署中设计了具体的实现方案,并对相关算法进行了仿真实验。结果表明,本文设计的切片选择访问算法具有相当的有效性和实用性。在保证用户服务体验的前提下,尽可能提高系统的整体性能。