In this research report, we explore the area of Digital Twin RAN (DT-RAN) use cases and perform an analysis of the potential gaps in the O-RAN standards which are then provided as inputs to next DT-RAN research phases and other research streams. In particular, the research report focuses on top 5 use cases that emerge through a comprehensive survey conducted within O-RAN community. The use cases are – DT-RAN for AI/ML training, evaluation and testing, DT-RAN for network testing automation, DT-RAN for network planning, DT-RAN for network energy Saving, and DT-RAN for site specific network optimization.
