Machine Learning for 5G Wireless Systems

Overview

Machine Learning is transforming the way the next generation 5G system is designed. Using Machine Learning to solve the 5G wireless problems has shown a better performance than the traditional method of communication system design.

In this talk, you will learn about various ways in which Artificial Intelligence (AI) techniques can be used to solve the 5G and next generation problem statements.

• Use case of Log Likelihood Ratio(LLR) computations, which is an integral part of the communication decoder design.
• How a neural network based computation scheme, which is trained to mimic the performance of soft decoding is yielding better accuracy, where MATLAB was used for initial algorithm design.
• How neural network can be incorporated in various state of art technologies such as Centralized, Virtual and Open Radio Access Network (C-RAN, V-RAN and O-RAN).

About the Presenter

Dr. Satya Kumar Vankayala | Staff Engineer | Samsung R&D Institute, India

Dr. Satya has Architected & designed various AI algorithms for 5G & 6G Physical, Medium Access Control (MAC) & Operation Admission Management (OAM) systems and championed AI transformation of existing hardware dependent non-machine learning algorithms with AI algorithms. He is Artificial Intelligence focused researcher with a Ph.D. in Electrical Communication Engineering from Indian Institute of Science, Bangalore in 2017. He has strong exposure to emerging communications and networking technologies (5G/6G, Open-RAN, Network Slicing) and a senior member of IEEE who has co-authored 25+ IEEE research papers and filed more than 44 patent applications with 17 US patents granted.