Deep Reinforcement Learning: Applications to 6G RAN

Description

A practical reference handbook for working wireless engineers on applying deep reinforcement learning to the 6G radio access network.
The book starts from the RAN engineering toolchain as it exists today — planning tools, drive testing, NMS/SON — and shows concretely where it strains under 6G complexity: massive MIMO, dense small cells, mmWave beam dynamics, and non-terrestrial networks. It then surveys the AI tools currently available to the RAN engineer before building up reinforcement learning for RAN optimization from first principles.
The core of the handbook is practical: how to define, train, and evaluate DRL controllers for radio resource optimization, network slicing, and random-access congestion, including an experimental workflow with OpenRAN Gym and Python appendices with accessible starting environments. It also covers native AI interfaces in the evolving standards, and what it takes to move a trained agent into a RIC — compatible telemetry, implemented actuators, and measured closed-loop validation.
Written for engineers who build and optimize real networks — concepts are explained for implementation, not just theory.

About the Author

Rao S. Yenamandra
Rao S. Yenamandra has spent over 50 years in telecommunications, starting from the Telecommunication Research Center in New Delhi in the late 1960s to Qualcomm San Diego, where he retired as Vice President of Engineering in 2014. Along the way he worked on satellite communications and VSAT development in India, taught telecommunications in Algeria, served as General Manager in India's Department of Telecom, advised Reliance Communications on the introduction of CDMA in India, and led 3G network transitions in South Africa. He holds 18 granted patents in UMTS/LTE, a Ph.D., and is a Fellow of the IETE. Since retiring from Qualcomm, he has trained software companies in Bengaluru on 3GPP, O-RAN, V2X, and cloud architectures, and now works on machine learning, AI, and LLM applications for wireless networks through DigitalTwinSim. He is also the author of Telecom Memoir: From Wireless 1G to 6G and beyond.

Mubanga Nsofu
Mubanga Nsofu is a telecommunications professional currently with Vodacom , South Africa as Head of 6G strategy, working previously with other mobile carriers. He co-authored this handbook with Rao S. Yenamandra, bringing a complete network experience He was with Qualcomm for over 20 years working on 3G/4G technologies He had done graduate study in Data Science with special emphasis on deep reinforcement learning.

Book Details

ISBN: 9798175193368

Publisher: Rao S Yenamandra

Number of Pages: 197

Dimensions: 6.00"x9.00"

Interior Pages: B&W

Binding: Paperback (Perfect Binding)

Availability: In Stock (Print on Demand)

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