Artificial Intelligence for Predicting 5G Network Performance

Computing environments employing Artificial Intelligence (AI) are disclosed for enabling network operators to optimize messaging performance, particularly 5G (and future 6G) messaging performance, in real-time. For example, AI structures can assist in the selection and optimization of modulation tables. Three development phases are described: network data acquisition including faults experienced under various network conditions, AI structure tuning for accurate prediction of performance, and implementation of an algorithm based on the AI structure. Network operators can use the algorithm to compare predicted performance metrics according to various operating conditions, such as available modulation tables, and thereby select operating parameters for improved message reliability and throughput. The algorithm can also be used to adjust network variables, such as particular amplitude or phase levels in modulation tables.