Abstract of the Workshop
Advanced 5G and 6G use cases bring in new concepts such as AI-native cellular architectures and AI-based radio protocols. In this talk, we will look at two key aspects:
1) The use of AI and ML techniques for advanced management of radio protocols, that can improve performance over traditional signal processing based techniques
2) An intent driven cognitive network platform that can perform improved management of the network to provide differentiated QoS services. We will showcase some key results from recent technical publications from Ericsson including a couple of demonstration artefacts.
Biography - Speakers
Dr. Ajay Kattepur is a Senior Researcher in the Autonomous Intelligent Systems group at Ericsson Research, with a focus on applying AI planning, reinforcement learning and formal modeling techniques towards 5G/6G network automation. Prior to joining Ericsson Research, he was with the Tata Consultancy Services (TCS) Research & Innovation Labs in India. Ajay received his Ph.D. in Computer science from French National Institute for Computer Science and Control (Inria), Rennes, France, and the M.Eng. and B.Eng. degrees in Electrical & Electronic Engineering from Nanyang Technological University (NTU) Singapore.
Dr. Prayag Gowgi received the B.E. degree in electronics and communication engineering from the P. E. S. College of Engineering, Mandya, India, in 2009, the M.Tech. degree in digital communication engineering from the R. V. College of Engineering, Bengaluru, India, in 2011, and the Ph.D. degree from the Indian Institute of Science at Bengaluru, in 2019. He is currently working as a Senior Research Engineer with Ericsson Research AI, Bengaluru. His research interests include neural networks, signal processing, nonlinear optimization, spatio-temporal self-organizing maps, and mathematical biology.