Study and Evaluation of a hybrid architecture to optimize resources in the 5G core network

Abstract

Previous cellular generations have had the main objective of providing fast and reliable cellular data services to diverse network users. 5G has historically expanded this scope to offer a wide range of wireless services, delivered to the user across multiple access platforms and via multi-layer networks. As 5G offers a coherent, flexible and dynamic platform for multiple advanced technologies supporting a wide range of applications, it is of paramount importance to design and optimize a network architecture model from a QoS perspective. Thus. There are several service architectures the dedicated architecture or the shared architecture. The objective of the paper is to appreciate the best quality of service in terms of latency provided according to the type of architecture chosen. The objectives of the convergence architecture in the 5G era will be addressed in this paper, with a look at the capabilities of function reuse, resource pooling for real optimization. This research work will also allow to make a comparison with the industrial world and precisely with the telecom operators and to make technical proposals to bring an answer to the stakes that are the optimization of the costs, the quality of the experience and the quality of services to boost the innovation. to carry out the practice research, this paper uses a multi-agent system framework based on Python, the osBrain environment. Evaluating the results of the simulation, the hybrid architecture proposes more efficiency by its reliability, low latency and scalability and therefore the most optimal in terms of value creation.