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5G radio access network (RAN) with network slicing methodology plays a keyrole in the development of the next-generation network system. RAN slicingfocuses on splitting the substrate's resources into a set of self-containedprogrammable RAN slices. Leveraged by network function virtualization (NFV), aRAN slice is constituted by various virtual network functions (VNFs) andvirtual links that are embedded as instances on substrate nodes. In this work,we focus on the following fundamental tasks: i) establishing the theoreticalfoundation for constructing a VNF mapping plan for RAN slice recoveryoptimization and ii) developing algorithms needed to map/embed VNFsefficiently. In particular, we propose four efficient algorithms, includingResource-based Algorithm (RBA), Connectivity-based Algorithm (CBA), Group-basedAlgorithm (GBA), and Group-Connectivity-based Algorithm (GCBA) to solve theresource allocation and VNF mapping problem. Extensive experiments are alsoconducted to validate the robustness of RAN slicing via the proposedalgorithms.

Optimizing Resource Allocation and VNF Embedding in RAN Slicing