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Caching Resource Sharing for Network Slicing in 5G Core Network: A Game Theoretic Approach

机译:5G核心网中的网络切片缓存资源共享:一种博弈论方法

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Network slicing has been considered a promising technology in next generation mobile networks (5G), which can create virtual networks and provide customized service on demand. Most existing works on network slicing mainly focus on virtualization technology, and have not considered in-network caching well. However, in-network caching, as the one of the key technologies for information-centric networking (ICN), has been considered as a significant approach in 5G network to cope with the traffic explosion and network challenges. In this article, the authors jointly consider in-network caching combining with network slicing. They propose an efficient caching resource sharing scheme for network slicing in 5G core network, aiming at solving the problem of how to efficiently share the limited physical caching resource of Infrastructure Provider (InP) among multiple network slices. In addition, from the perspective of network slicing, the authors formulate caching resource sharing problem as a non-cooperative game, and propose an iteration algorithm based on caching resource updating to obtain the Nash Equilibrium solution. Simulation results show that the proposed algorithm has good convergence performance, and illustrate the effectiveness of the proposed scheme.
机译:网络切片已被认为是下一代移动网络(5G)中的一项有前途的技术,该技术可以创建虚拟网络并按需提供定制服务。现有的大多数有关网络切片的工作主要集中在虚拟化技术上,而对网络内缓存的考虑还不够。但是,作为以信息为中心的联网(ICN)的关键技术之一,网络内缓存已被视为5G网络中应对流量爆炸和网络挑战的重要方法。在本文中,作者共同考虑了网络内缓存与网络切片相结合。他们提出了一种用于5G核心网中的网络切片的高效缓存资源共享方案,旨在解决如何在多个网络切片之间有效共享基础架构提供商(InP)的有限物理缓存资源的问题。另外,从网络切片的角度出发,将缓存资源共享问题描述为一种非合作博弈,并提出了一种基于缓存资源更新的迭代算法来获得纳什均衡解。仿真结果表明,该算法具有良好的收敛性能,说明了该方案的有效性。

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