Chapter 3AI computation on RAN and User Equipment (UE)

Mahantesh Kothiwale

Samsung R&D Institute India-Bangalore, Bangalore, India

DOI: 10.1201/9781003303527-4

3.1 INTRODUCTION

While artificial intelligence (AI) and machine learning (ML) use cases on cellular wireless networks are being significantly emphasized, this raises another vital topic, the realization of neural network (NN) training and execution on compute platforms of radio access networks (RANs), core networks (CNs), and end-user equipment. Wireless modem chipsets, offered in the telecommunications (telecom) industry before 5G commercialization, have not necessarily achieved the compute capabilities needed for executing ML models, hence the NN libraries. Traditional modem chipsets, ...

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