Gurobi Optimization for 5GC Refactoring

Optimization to Refactoring reduces the queuing delay between the 5G core Network Functions and considers the allocation cost of 5G core Network Functions. This paper studies the 5G core Network Functions Refactoring Optimization problem. The problem is formulated as the Mixed Integer Quadratic Constraint Programming (MIQCP) and two-objective problem. We implement the model by using the optimization tool GUROBI. Finally, we compare and analyze the performance of the other architectures designed by different 5GC refactoring methods. The performance result shows that 5GC refactoring by GUROBI can improve the performance, with less queuing delay and allocation cost.