5G radio access network (RAN) with network slicing methodology plays a key role in the development of the next-generation network system. RAN slicing focuses on splitting the substrate's resources into a set of self-contained programmable RAN slices. Leveraged by network function virtualization (NFV), a RAN slice is constituted by various virtual network functions (VNFs) and virtual links that are embedded as instances on substrate nodes. In this work, we focus on the following fundamental tasks: i) establishing the theoretical foundation for constructing a VNF mapping plan for RAN slice recovery optimization and ii) developing algorithms needed to map/embed VNFs efficiently. In particular, we propose four efficient algorithms, including Resource-based Algorithm (RBA), Connectivity-based Algorithm (CBA), Group-based Algorithm (GBA), and Group-Connectivity-based Algorithm (GCBA) to solve the resource allocation and VNF mapping problem. Extensive experiments are also conducted to validate the robustness of RAN slicing via the proposed algorithms.
翻译:5G无线电接入网络(RAN)具有网络切片方法,在开发下一代网络系统方面发挥着关键作用。RAN切片侧重于将基底资源分成一组自成一体的可编程RAN切片。通过网络功能虚拟化(NFVV),一个RAN切片由各种虚拟网络功能(VNF)和虚拟链接组成,这些功能作为基节点的范例嵌入其中。在这项工作中,我们侧重于以下基本任务:(一) 为建立VNF测绘计划建立理论基础,为RAN切片回收优化和二) 开发地图/机组VNFS有效配置所需的算法。特别是,我们提出了四种有效的算法,包括基于资源的阿尔戈里特姆(RBA)、基于连接的阿尔戈里特姆(CBA)、基于集团的阿尔戈里特姆(GBA)和基于集团的阿尔戈里特姆(GCBA),以解决资源分配和VNF映像问题。我们还进行了广泛的实验,以确认RAN的稳健性。