Application-based selection for 5G networks

In the recent pandemic of COVID- 19, the growing demand for mobile data services is become beyond the expectation for the 5G networks. To face the new situation the intelligent networks needs to think differently of how to handle the limitation of the coverage resource to meet the users' application demands. In this paper, application-aware optimization algorithm has been proposed for 5G networks. The cell selection in a small cell environment with the lack of movement gives new perspective to mobility and resource optimization. The proposed algorithm using fuzzy logic integrates the system information with the application attributes to satisfy different applications needs. The available capacity with the QoS metrics such as throughput, packet loss, and end to end delay are investigated for an optimal cell selection. The performance evaluation reveals improvement in system utilization and QoS.