5G-OPS: Optimizer of Private 5G Slices

Private 5G networks (5 Generation Networks) are designed to handle demanding applications such as virtual and augmented reality, the IoT (Internet of Things), high-definition video, drones, and other applications that require low latency, high speed, and high capacity. However, the challenge lies in the fact that each of these applications has unique requirements. To meet the application-required private 5G network slicing must be optimized to support different types of applications. In this paper, 5G-OPS (Optimizer of Private 5G Slices), a network slicing optimizer for private 5G, is proposed to allow enterprises effectively use a portion of the network resource to split to serve various applications based on the requirements that vary and differ from one application to another. 5G-OPS assume a physical network called Substrate Network (SN) includes nodes and links to provide latency, reliability, bandwidth, and processing constraints. In 5G-OPS, different applications are viewed as virtual networks mapped on the SN. In our work, we do not discuss the design of the resource, rather, we focus on the resource allocation problem to provide suitable end-to-end services. A mathematical allocation model is used for G-group application in the shape of a Mixed Integer Program (MIP). After applying the mathematical model, physical resources that need to provide latency or security constraints are decided in an economic manner (i.e., the minimum enough to answer applications’ requirements), and the Virtual Networks’ nodes and links are mapped based on the decided SN. Every virtual node and link is mapped to physical node and link/path in accordance to the virtual nodes and links requests in terms of CPU, bandwidth, latency and Security.