Autonomous Wireless Systems with Artificial Intelligence: A Knowledge Management Perspective
This article discusses technology and opportunities available to embrace artificial intelligence (AI) in the design of autonomous wireless systems. A vision is presented for knowledge-driven wireless operation by means of AI disciplines, such as sensing, reasoning, knowledge management, and active learning. The aim is to provide readers with the motivation and a general big data-independent AI methodology for autonomous agents in the context of self-organization in real time by unifying knowledge management with sensing, reasoning, and active learning. Differences between training-based methods for matching problems and training-free methods for environment-specific problems are highlighted. Finally, we conceptually introduce the functions of an autonomous agent with knowledge management.