Universal Vertical Application Adaptation for O-RAN: Low-Latency RIC and Autonomous Intelligent xAPP Generation

To support manifold vertical applications in any deployment environment, the fifth generation (5G) radio access network (RAN) may exploit artificial intelligence (AI) and machine learning (ML) for intelligent RAN configuration. With the open RAN (O-RAN) architecture supporting the near-real-time (Near-RT) RAN intelligent controller (RIC), various AI/ML algorithms can be designed in the form of 'xAPPs' to optimize the performance for different vertical applications. To this end, a low-latency near-RT RIC platform is of crucial importance. The lack of an effective design for the autonomous intelligent xAPP generation for all vertical applications also obstructs the zero-touch operations of the O-RAN. In this article, the new designs to enhance the existing standards and platform of near-RT RIC, and the new design flow for autonomous intelligent xAPP generation are presented. Experimental results demonstrate the ability to support various vertical applications.