Artificial Intelligence Powered Mobile Networks: From Cognition to Decision

Abstract

Mobile networks (MN) are anticipated to provide unprecedented opportunities to enable a new world of connected experiences and radically shift the way people interact with everything. MN are becoming more and more complex, driven by ever-increasingly complicated configuration issues and blossoming new service requirements. This complexity poses significant challenges in deployment, management, operation, optimization, and maintenance, since they require a complete understanding and cognition of MN. Artificial intelligence (AI), which deals with the simulation of intelligent behavior in computers, has demonstrated enormous success in many application domains, suggesting its potential in cognizing the state of MN and making intelligent decisions. In this paper, we first propose an AI-powered mobile network architecture and discuss challenges in terms of cognition complexity, decisions with high-dimensional action space, and self-adaption to system dynamics. Then, potential solutions that are associated with AI are discussed. Finally, we propose a deep learning approach that directly maps the state of MN to perceived QoS, integrating cognition with the decision. Our proposed approach helps operators in making more intelligent decisions to guarantee QoS. Meanwhile, the effectiveness and advantages of our proposed approach are demonstrated on a real-world dataset, involving 31261 users over 77 stations within 5 days.

Analysis of Network Performance over Deep Reinforcement Learning Control Loops for Industry 4.0

“…In order to understand the challenges in terms of cognition complexity over mobile networks, Luo et al [2021] proposed an AI-powered mobile network architecture and discussed the use of AI in this architecture to make smarter decisions in different application domains. Through a deep learning based model that integrates cognition with decision, they could provide QoS by preventing network congestion using data from a China telecom operator.…”