The 5G NG-RAN Simulator is a vital tool for developing AI/ML algorithms aimed at optimizing the Radio Access Network (RAN). It is designed to serve as the environment for reinforcement learning. The reinforcement learning approach in machine learning relies on the concept of an environment. The RAN Simulator functions as Read more…
ENKI AI has developed the KPM xApp, which subscribes to cell-level Key Performance Measurements (KPMs) available at the O-DU and O-CU, presenting the reported metrics in charts via the popular Grafana application. KPMs for individual cells can be displayed with 1-second granularity on the time axis, enabling detailed analysis. The Read more…
ENKI AI has developed a cutting-edge O-RAN compliant Near-Real-Time RAN Intelligent Controller (Near-RT RIC). Built entirely in Python for rapid extension and maximum flexibility to support a wide range of research directions. The Near-RT RIC, along with its xApps, serves as the central node for optimizing Radio Access Network (RAN) Read more…