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TOPSIS-based approach for network slice selection in 5G mobile systems

机译：基于TopSIS的网络切片选择方法在5G移动系统中选择

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Fifth-generation (5G) mobile networks can be perceived as highly manageable systems that provide increased performance while supporting a variety of services with widely diverse requirements. Recently, network slicing has been proposed by academia and industry as a resource provisioning technique capable to meet these requirements with reduced operating costs while opening new horizons for network efficiency. The aim of network slice selection function (NSSF) is an optimal selection of network instances serving the users, based on local configuration, and other available information including radio access networks (RANs) performances in the registration area. In this paper, NSSF based on Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is proposed. Here, the network slices are treated as alternatives while their performance indicators are considered as the criteria for decision making. The influences of various alternative techniques, taking into account all the three stages of decision making process, that is, normalization, weighting, and ranking, are analyzed through the rank reversal phenomenon and computational complexity. Simulation results reveal that the proposed techniques can significantly improve the network slice selection procedure.
机译：第五代（5G）移动网络可以被视为高度可管理的系统，可提供更高的性能，同时支持具有广泛多样化的服务的各种服务。最近，学术界和工业提出了网络切片作为资源供应技术，能够满足这些要求，同时打开网络效率的新视野。网络切片选择函数（NSSF）的目的是基于本地配置为用户提供服务的网络实例的最佳选择，以及包括登记区域中的无线电接入网络（RANS）执行的其他可用信息。在本文中，提出了基于通过相似性与理想解决方案（TOPSIS）的顺序偏好技术的NSSF。这里，网络切片被视为替代方案，而其性能指标被认为是决策制定的标准。考虑到各种替代技术的影响，考虑到决策过程的所有三个阶段，即归一化，加权和排名，通过等级反转现象和计算复杂性分析。仿真结果表明，所提出的技术可以显着改善网络切片选择过程。

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