Optimizing 5G Networks Processes With Software Defined Networks

This paper presents a new mathematical multi-objective formulation for the allocation of users in base stations of the evolved packet system architecture, with 5G applications that use software-defined networking. The model minimizes (i) communication cost between base stations and data centers; (ii) handover occurrences; (iii) the communication cost between users and base stations subject to user's bandwidth requirements. The proposed formulation is demonstrated in a simulation with data collected from a user's GPS and base station coordinates. It is verified in the results that the allocations considered the shortest distance, handover average, and network bandwidth availability, as established by our mathematical model.