Dynamic deployment and traffic scheduling of UPF in 5G networks
Renato Racelis Maaliw III, Haewon Byeon, Ravi Kumar, D. Y. Patil Vidyapeeth · 2024
To achieve dynamic deployment of the user plane in the 5G core network, a multi-stage planning technique based on Benders decomposition is provided for the deployment and traffic scheduling of the User Plane Function (UPF) in an edge network context. This is done so that 5G networks can handle the time-varying data traffic load and provide the low-latency services that users want. User plane data latency, UPF implementation cost, and edge server energy consumption will all be reduced as the influence of deployment options on latency is considered. UPF deployment and traffic management strategies are designed using a tiered approach to planning. The model is decomposed into the primary problem of UPF deployment and various secondary subproblems of traffic scheduling using the Benders decomposition algorithm. We repeatedly address the main problem and its subproblems in order to optimise UPF deployment and traffic scheduling. Results from simulations validate the suggested method’s rapid convergence to the correct answer. When compared to the sequential solution approach and a heuristic algorithm based on the Markov Decision Process (MDP), the proposed method yields savings of 10.4 and 5.1 percentage points, respectively.