Hello Tech-tribe.
Thrilled to share my new in-depth article on the role of AI/ML in 5G RAN!
In this piece, I explore how machine learning is moving from theory to reality across the entire 5G protocol stack - from PHY layer beam management and CSI estimation to intelligent resource control in the MAC, RLC, and SDAP layers.
Key takeaways include:
How predictive ML models are solving the channel aging problem in high-mobility scenarios.
A look at specific algorithms (like LSTMs and Reinforcement Learning) and their practical use cases.
An analysis of the technical challenges and the impact of 3GPP Release 18 on future deployments.
This is a must-read for anyone involved in wireless engineering, network architecture, and the evolution toward 6G.
PDF: 
AI-ML in 5G RAN Networks (By Venkateshu Kamarthi).pdf (2.3 MB)
Read the full article here: