A Survey on the Integration of Generative AI for Critical Thinking in Mobile Networks
It identifies a gap in applying GenAI for critical thinking in telecommunications, which could impact network management and decision-making, but is incremental as it primarily reviews and proposes future research directions.
This paper surveys the potential of Generative AI for enabling critical thinking in mobile networks, addressing the limitations of existing symbolic AI methods by exploring how GenAI could reduce manual curation costs and computational complexity.
In the near future, mobile networks are expected to broaden their services and coverage to accommodate a larger user base and diverse user needs. Thus, they will increasingly rely on artificial intelligence (AI) to manage network operation and control costs, undertaking complex decision-making roles. This shift will necessitate the application of techniques that incorporate critical thinking abilities, including reasoning and planning. Symbolic AI techniques already facilitate critical thinking based on existing knowledge. Yet, their use in telecommunications is hindered by the high cost of mostly manual curation of this knowledge and high computational complexity of reasoning tasks. At the same time, there is a spurt of innovations in industries such as telecommunications due to Generative AI (GenAI) technologies, operating independently of human-curated knowledge. However, their capacity for critical thinking remains uncertain. This paper aims to address this gap by examining the current status of GenAI algorithms with critical thinking capabilities and investigating their potential applications in telecom networks. Specifically, the aim of this study is to offer an introduction to the potential utilization of GenAI for critical thinking techniques in mobile networks, while also establishing a foundation for future research.