AI-Assisted Complex Wireless Network Evaluation Using Dynamic Ranking Scheme

In recent development of communication systems, increasing amount of mobile terminals and multimedia content will require more and more resources to satisfy the need of users. However, there is rare study about the evaluation of large-scale complex network, from which the shortage of the network could be discovered. In this paper, we discuss the AI-based network evaluation method, we propose a novel discovery and ranking system using deep learning to collect and evaluate the network influence factor, and then, the key factors will be discovered to detect the advantages and shortages of network elements, deployments and scale. The AI-based detection and evaluation system is running along with the LTE-A system-level simulation platform, the accuracy and the effectiveness are evaluated, system shortages are successfully discovered within 100 trainings.