Artificial Intelligence Powered Mobile Networks: From Cognition to Decision

Mobile networks (MNs) are anticipated to provide unprecedented opportunities enable a new world of connected experiences and radically shift the way people interact with everything. MNs becoming more complex, driven by ever increasing complicated configuration issues blossoming service requirements. This complexity poses significant challenges in deployment, management, operation, optimization, maintenance, since they require complete understanding cognition MNs. Artificial intelligence (AI), which deals simulation intelligent behavior computers, has demonstrated enormous success many application domains, suggesting its potential cognizing state an MN making decisions. In this article, we first propose AI-powered architecture discuss terms complexity, decisions high-dimensional action space, self-adaptation system dynamics. Then solutions associated AI discussed. Finally, deep learning approach that directly maps perceived QoS, integrating decision. Our proposed helps operators make guarantee QoS. Meanwhile, effectiveness advantages our on real-world dataset involving 31,261 users over 77 stations within 5 days.