Dr. Xingqin Lin

We have entered the era of artificial intelligence (AI), brought about by three converging forces: big data, deep learning algorithms, and high-performance computing accelerated by graphics processing units (GPUs). Meanwhile, we have seen 5G expansion continuing worldwide and transforming society. The 3rd Generation Partnership Project (3GPP) has entered the second phase of 5G standardization – 5G-Advanced – and is starting 6G standardization. As industries worldwide are being transformed by AI, it is natural to ask what role AI will play for wireless communications in 5G-Advanced toward 6G? This talk addresses the question by providing an overview of the latest 3GPP work on AI adoption in the 5G evolution. Specifically, we will discuss how AI can augment the 5G New Radio (NR) air interface, covering both general framework and specific use cases, including channel state information feedback, beam management, and positioning. We will also discuss generative AI, particularly large language models (LLMs), as a key enabler to unlock new possibilities within the telecom sector. 

Biography:

Dr. Xingqin Lin is the 3GPP Lead at NVIDIA, spearheading 3GPP and ATIS standardization and conducting research at the intersection of 5G/6G and AI. Before joining NVIDIA, he was with Ericsson, leading 5G/6G research and standardization in focus areas. He was an Ericsson NextGen Advisory Board member, collaborating with Ericsson Executive Team on strategic projects. He is an expert in wireless communications and technology strategy and a key contributor to 5G NR, NB-IoT, and LTE standards. He served as the founding co-chair of the ATIS AI Network Applications working group (2023-2025). His pioneering work has led to strategic opportunities, products, and real-world deployments in the telecom industry, enabling major network transitions from 4G to 5G. 

He is co-author of the book “Wireless Communications and Networking for Unmanned Aerial Vehicles” and the lead editor of the books “5G and Beyond: Fundamentals and Standards” and "Fundamentals of 6G Communications and Networking." He has published 100+ refereed papers and contributed to 200+ patent applications, including standards essential inventions. His publications have been cited over 10,000 times.  He has garnered several awards, including the IEEE Communications Society Fred W. Ellersick Prize (2021), IEEE Vehicular Technology Society Early Career Award (2021), IEEE WCNC Best Paper Award (2020), and IEEE Communications Society Best Young Professional Award in Industry (2020), among others.

He serves/served as an editor of the IEEE Communications Letters (2015-2018), IEEE Network (2021-2024), IEEE Internet of Things Magazine (2021-now), IEEE Communications Magazine (2022-now), and IEEE Communications Standards Magazine (2024-now), the lead guest editor for the IEEE Network special issue on "The Interplay Between Generative AI and 5G-Advanced toward 6G" and IEEE Communications Magazine special issue on “Digital Twins Meet Artificial Intelligence in 6G," and the lead editor for the IEEE Internet of Things Magazine series on "AI for IoT." He was recognized as an exemplary editor of the IEEE Internet of Things Magazine (2021 & 2022 & 2013) and IEEE Network (2022). He is an IET Fellow, an IEEE ComSoc Distinguished Lecturer (2024-2025), and an IEEE VTS Distinguished Lecturer (2024-2026). He holds a Ph.D. in electrical and computer engineering from The University of Texas at Austin, USA.