Mobile operators are facing the dual dilemma of explosive traffic growth and incremental revenue growth. Demand

investment and efficiency are unbalanced. The arrival of 5 G provides a new solution for the matching of network capabilities and user demands. Due to new O-RAN architecture

various research results in the field of artificial intelligence in recent years could be introduced

which provide better services to users with limited resources. Based on AI big data technology

accurate traffic prediction based on spatio-temporal features in cellular networks leading to efficient resource deployment

which makes network capacity and user demands closely coupled

and improves the accuracy of resource allocation and the utilization of network resources.