Jio, within the framework of MCNS consultancy and collaboration with Dr. Spyridon Louvros, has actively and vividly contributed in 3GPP by emphasizing into TR 28.908 V1.2.0 – 4.3 AI/ML workflow for 5GS decision-making processes for Coverage and Capacity Optimization (CCO), mobility management, and energy efficiency, allowing for more dynamic and context-aware network adjustments.
Jio basic research is focused on the integration of self-adjoint operators and C*-algebra frameworks in AI/ML algorithms within the context of 3GPP Self-Organizing Networks (SON) for 5G and beyond.
This white paper explores the integration of self-adjoint operators, in the scope of C*-algebra framework, for the implementation of AI/ML data analysis algorithms within the context of 3GPP Self-Organizing Networks (SON) for 5G and beyond.
By leveraging these advanced mathematical tools, we in Jio Platforms aim to enhance critical network management functions, including interpolation, optimization, fault detection, and proactive network performance prediction.
Please refer to the following Jio Linkedin post
2 min 
