Home - Xingqin Lin

Welcome to My Homepage!

I enjoy innovating for the future, collaborating with academia, and co-creating across the ecosystem, to accelerate technology development in the telecom industry.

I'm always on the lookout for potential new collaboration opportunities with researchers worldwide.

Please feel free to drop me an email if you share similar research interests.

Xingqin Lin, Ph.D., FIET, SMIEEE

Email: xingqinl at nvidia dot com

Senior Standards Engineer | 3GPP Lead | 5G/6G Researcher @ NVIDIA, USA

Editor, IEEE Network and IEEE Internet of Things Magazine

Industry Liaison Officer, IEEE ComSoc ETI on Aerial Communications

Fellow Assessor, Institution of Engineering and Technology

Google Scholar; LinkedIn

I'm passionate about wireless research with practical impact. I'm especially proud of my pioneering contributions to

Recent Updates

Recent External Recognitions and Awards

  • 2022: Society of Asian Scientists and Engineers (SASE) Achievement Award

  • 2022: Invited to serve on the ATIS Technology and Operations (TOPS) Council

  • 2022: IEEE Internet of Things Magazine Editor Certificate of Excellence (#1 rank)

  • 2021: Appointed as a Fellow Assessor of the Institution of Engineering and Technology (FIET)

  • 2021: IEEE Communications Society Fred W. Ellersick Prize for the seminal work "The Sky Is Not the Limit: LTE for Unmanned Aerial Vehicles"

  • 2021: IEEE Vehicular Technology Society Early Career Award for “contributions to mobile communication systems and connected aerial vehicles”

  • 2021: Elected to Fellow of the Institution of Engineering and Technology (FIET)

  • 2021 & 2022: Listed as one of the AI 2000 Most Influential Scholar in the category of Internet of Things

  • 2020: IEEE ComSoc Best Young Professional Award in Industry for “contributions to IoT, Aerial, and D2D communications in 5G NR and LTE Advanced”

  • 2020 & 2021: Listed as one of the World’s Top 2% Scientists by Stanford University

  • 2020: IEEE WCNC 2020 Best Paper Award for the work "Efficient Drone Mobility Support Using Reinforcement Learning"

  • 2020: Elevated to IEEE Senior Member

One-stop Portal of Recent Research

6G

    • 02/2021: Towards 6G with Connected Sky: UAVs and Beyond (arXiv) (IEEE Xplore)

    • 04/2021: Invited talk "Towards Limitless Connectivity: From 5G Evolution to 6G" at the KICS 5G/6G mobile communication workshop (website)

    • 04/2021: On the Path to 6G: Embracing the Next Wave of Low Earth Orbit Satellite Access (arXiv) (IEEE Xplore)

    • 06/2021: Served as a panelist for the IEEE ICC'21 6G workshop panel discussions on "The Roadmap toward 6G" (website)

    • 10/2021: Invited talk "What Will 6G Be?" at the 2021 CIE/USA-GYNC Annual Convention (website)

    • 11/2021: Fueling the Next Quantum Leap in Cellular Networks: Embracing AI in 5G Evolution towards 6G (arXiv) (IEEE Xplore)

    • 12/2021: Keynote "6G: Limitless Possibilities with Limitless Connectivity" at the CommNet 2021 (website)

Artificial Intelligence (AI) and Machine Learning (ML)

    • 05/2018: Rogue Drone Detection: A Machine Learning Approach (arXiv) (IEEE Xplore)

    • 05/2019: How to identify uncertified drones with machine learning (Ericsson Blog)

    • 11/2019: Efficient Drone Mobility Support Using Reinforcement Learning (arXiv) (IEEE Xplore) (IEEE WCNC 2020 best paper award)

    • 05/2020: A Deep Learning Approach to Efficient Drone Mobility Support (arXiv) (ACM)

    • 10/2020: What is AI-powered drone mobility support? (Ericsson Blog)

    • 10/2020: Air-to-Ground Network Design and Optimization: A Deep Learning Approach (arXiv) (IEEE Xplore)

    • 04/2021: Listed as one of the 2021 “AI 2000 Most Influential Scholars” in the category of Internet of Things (website)

    • 10/2021: Deep reinforcement learning in a dynamic environment: A case study in the telecommunication industry (arXiv) (IEEE Xplore)

    • 10/2021: Autonomous navigation and configuration of integrated access backhauling for UAV base station using reinforcement learning (arXiv) (IEEE Xplore)

    • 11/2021: Fueling the Next Quantum Leap in Cellular Networks: Embracing AI in 5G Evolution towards 6G (arXiv) (IEEE Xplore)

    • 04/2022: Listed as one of the 2022 “AI 2000 Most Influential Scholars” in the category of Internet of Things (website)

Non-Terrestrial Networks (NTN)

    • 03/2019: 5G New Radio Evolution Meets Satellite Communications: Opportunities, Challenges, and Solutions (arXiv) (Springer)

    • 12/2019: 5G NR communication over GEO or LEO satellite systems: 3GPP RAN higher layer standardization aspects (IEEE Xplore)

    • 02/2020: Narrowband Internet of Things for non-terrestrial networks (arXiv) (IEEE Xplore)

    • 03/2020: Sky High 5G: New Radio for Air-to-Ground Communications (arXiv) (Springer)

    • 11/2020: 5G Air-to-Ground Network Design and Optimization: A Deep Learning Approach (arXiv)

    • 11/2020: Throughput and Capacity Evaluation of 5G New Radio Non-Terrestrial Networks with LEO Satellites (arXiv) (IEEE Xplore)

    • 01/2021: A Primer on HIBS – High Altitude Platform Stations as IMT Base Stations (arXiv) (IEEE Xplore)

    • 02/2021: Random access preamble design for 3GPP non-terrestrial networks (arXiv) (IEEE Xplore)

    • 03/2021: Internet of Things from space: Transforming LTE machine type communications for non-terrestrial networks (arXiv) (IEEE Xplore)

    • 03/2021: 5G from Space: An Overview of 3GPP Non-Terrestrial Networks (arXiv) (IEEE Xplore)

    • 04/2021: On the Path to 6G: Embracing the Next Wave of Low Earth Orbit Satellite Access (arXiv) (IEEE Xplore)

    • 05/2021: 5G Massive Machine Type Communication Performance in Non-Terrestrial Networks with LEO Satellites (arXiv) (IEEE Xplore)

    • 05/2021: Doppler Shift Estimation in 5G New Radio Non-Terrestrial Networks (arXiv) (IEEE Xplore)

5G New Radio

    • 06/2018: 5G New Radio: Unveiling the Essentials of the Next Generation Wireless Access Technology (arXiv) (IEEE Xplore)

    • 03/2019: 5G New Radio Evolution Meets Satellite Communications: Opportunities, Challenges, and Solutions (arXiv) (Springer)

    • 08/2019: Debunking Seven Myths about 5G New Radio (arXiv)

    • 10/2019: Understanding the Heart of the 5G Air Interface: An Overview of Physical Downlink Control Channel for 5G New Radio (NR) (arXiv) (IEEE Xplore)

    • 03/2020: Sky High 5G: New Radio for Air-to-Ground Communications (arXiv) (Springer)

    • 04/2020: A Primer on Bandwidth Parts in 5G New Radio (arXiv) (Springer)

    • 06/2020: Introduction to 5G and beyond (Springer)

    • 07/2020: Edited book with Springer: 5G and Beyond: Fundamentals and Standards

    • 10/2021: Towards Providing Connectivity When and Where It Counts: An Overview of Deployable 5G Networks (arXiv) (IEEE Xplore)

    • 01/2022: An Overview of 5G Advanced Evolution in 3GPP Release 18 (arXiv) (IEEE Xplore)

Unmanned Aerial Vehicles (UAV, a.k.a. drone)

    • 07/2017: The sky is not the limit: LTE for unmanned aerial vehicles (arXiv) (IEEE Xplore)

    • 11/2017: Ericsson explains the performance of drones on LTE networks (RCR Wireless News)

    • 11/2017: Invited talk at Texas Wireless Summit on LTE for unmanned aerial vehicles (RCR Youtube Channel: starts at ~24:30)

    • 11/2017: Managing drone air traffic with network services (Ericsson Blog)

    • 11/2017: How mobile networks can support drone communication (Ericsson Blog)

    • 11/2017: Drone communication and traffic management over mobile networks (Ericsson Youtube Channel)

    • 01/2018: Interference mitigation methods for unmanned aerial vehicles served by cellular networks (arXiv) (IEEE Xplore)

    • 02/2018: Mobile-network connected drones: field trials, simulations, and design insights (arXiv) (IEEE Xplore)

    • 03/2018: A Telecom Perspective on the Internet of Drones: From LTE-Advanced to 5G (arXiv) (IEEE Xplore)

    • 04/2018: Mobility Support for Cellular Connected Unmanned Aerial Vehicles: Performance and Analysis (arXiv) (IEEE Xplore)

    • 05/2018: An Overview of 3GPP Release-15 Study on Enhanced LTE Support for Connected Drones (arXiv) (IEEE Xplore)

    • 05/2018: Rogue Drone Detection: A Machine Learning Approach (arXiv) (IEEE Xplore)

    • 08/2018: Served as a panelist for the UC Berkeley SkyDeck panel discussions on "The Future of Connected and Autonomous Drones"

    • 11/2018: Ericsson official drone white paper: Drones and networks: Ensuring safe and secure operations

    • 01/2019: Drones and networks: mobility support (Ericsson blog)

    • 05/2019: Invited talk at the IEEE ICC'19 workshop on "Integrating UAVs into 5G and Beyond" (website)

    • 05/2019: How to identify uncertified drones with machine learning (Ericsson Blog)

    • 06/2019: IEEE ComSoc Technology News: Preparing the Ground for Drone Communications

    • 11/2019: Efficient Drone Mobility Support Using Reinforcement Learning (arXiv) (IEEE Xplore) (IEEE WCNC 2020 best paper award)

    • 02/2020: Book with Cambridge University Press: Wireless Communications and Networking for Unmanned Aerial Vehicles

    • 05/2020: A Deep Learning Approach to Efficient Drone Mobility Support (arXiv) (ACM)

    • 08/2020: Invited talk at the IEEE PIMRC'20 workshop on "UAV Communications for 5G and Beyond" (website)

    • 10/2020: What is AI-powered drone mobility support? (Ericsson Blog)

    • 02/2021: Towards 6G with Connected Sky: UAVs and Beyond (arXiv) (IEEE Xplore)

    • 06/2021: The sky is not the limit: The past, present, and future of the Internet of Drones (Ericsson Blog)

    • 10/2021: Towards Providing Connectivity When and Where It Counts: An Overview of Deployable 5G Networks (arXiv) (IEEE Xplore)

    • 10/2021: Autonomous navigation and configuration of integrated access backhauling for UAV base station using reinforcement learning (arXiv) (IEEE Xplore)

    • 12/2021: Served as a panelist for the IEEE CSCN 2021 panel discussions on "Standardization for UAVs and Drones" (website)

Machine Type Communications (NB-IoT, eMTC)

    • 06/2016: A primer on 3GPP narrowband Internet of Things (arXiv) (IEEE Xplore)

    • 06/2016: Random access preamble design and detection for 3GPP narrowband IoT systems (arXiv) (IEEE Xplore)

    • 07/2016: Performance evaluation of NB-IoT coverage (arXiv) (IEEE Xplore)

    • 04/2017: Positioning for the Internet of Things: A 3GPP perspective (arXiv) (IEEE Xplore)

    • 05/2017: Overview of 3GPP Release 14 enhanced NB-IoT (arXiv) (IEEE Xplore)

    • 05/2017: Overview of 3GPP Release-14 further enhanced MTC (arXiv) (IEEE Xplore)

    • 06/2019: Research innovation in the 100 km long-range NB-IoT helped Ericsson win the award “Best IoT Innovation for Mobile Networks in Asia” at the 2019 Mobile World Congress Shanghai (website)

    • 04/2021: Received the 2021 “AI 2000 Most Influential Scholars Award - Honorable Mention” in the category of Internet of Things (website)

Education

The University of Texas at Austin (09/2011 - 11/2014)

Ph.D. in Electrical and Computer Engineering (GPA: 4.0/4.0)

Advisor: Prof. Jeffrey G. Andrews

The Chinese University of Hong Kong (08/2009 - 07/2011)

M.Phil. in Electrical Engineering (GPA: 4.0/4.0)

Advisor: Prof. Tat. M. Lok

Tianjin University (09/2005 - 06/2009)

B. Eng. in Electronics Information Engineering (GPA: 94/100; Rank: 1/112)

Industrial Experience

    • 01/2022 - present, Senior 3GPP Standards Engineer, NVIDIA, Santa Clara, CA, USA.

    • 06/2020 - 01/2022, Master Researcher, Ericsson Research, Santa Clara, CA, USA.

    • 01/2018 - 05/2020, Senior Researcher, Ericsson Research, Santa Clara, CA, USA.

    • 12/2014 - 12/2017, Experienced Researcher, Ericsson Research, Santa Clara, CA, USA.

    • 05/2014 - 08/2014, Interim Engineering Intern, Qualcomm R&D, Bridgewater, NJ, USA.

    • 05/2013 - 08/2013, R&D Summer Trainee Intern, Nokia Siemens Networks, Arlington Heights, IL, USA.

    • 06/2012 - 08/2012, Summer Research Intern, Alcatel-Lucent Bell Labs, Murray Hill, NJ, USA.

Short Biography

Xingqin Lin is a Senior Standards Engineer at NVIDIA, leading 3GPP standardization and conducting research at the intersection of 5G/6G and AI. Before joining NVIDIA in 2022, he spent seven years at Ericsson holding several positions, most recently as Master Researcher, leading 5G/6G research and standardization in focus areas. He was a member of the Ericsson NextGen Advisory Board, collaborating with Ericsson Executive Team on strategic projects. He also served as a Global Juror for Ericsson Innovation Awards.

He is an expert in wireless communications and technology strategy and a key contributor to 5G NR, NB-IoT, and LTE standards. 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 book “5G and Beyond: Fundamentals and Standards.”

He has garnered a number of awards, including the 2020 IEEE Communications Society Best Young Professional Award in Industry, the 2021 IEEE Vehicular Technology Society Early Career Award, the 2021 IEEE Communications Society Fred W. Ellersick Prize, among others. He is an IET Fellow, an IEEE Senior Member, and an IET Fellow Assessor. He holds a Ph.D. in electrical and computer engineering from The University of Texas at Austin, USA.

Books

A thorough treatment of UAV wireless communications and networking research challenges and opportunities. Detailed, step-by-step development of carefully selected research problems that pertain to UAV network performance analysis and optimization, physical layer design, trajectory path planning, resource management, multiple access, cooperative communications, standardization, control, and security is provided. Featuring discussion of practical applications including drone delivery systems, public safety, IoT, virtual reality, and smart cities, this is an essential tool for researchers, students, and engineers interested in broadening their knowledge of the deployment and operation of communication systems that integrate or rely on unmanned aerial vehicles.

Merouane Debbah - CentraleSupélec: "This book, written by the most prominent experts in the field, provides a complete in-depth analysis of UAV wireless communications. It should become a reference material for all the students, engineers and researchers who are building our next generation wireless communication networks."

Halim Yanikomeroglu - Carleton University, Ottawa: "This is the most comprehensive book on the rapidly evolving field of wireless communications and networking for UAVs. The authors are among the researchers who have made the most profound contributions to this emerging field. Their impressive command on the subject matter results in a thorough presentation taking theory, practice, and industrial standards into account. A must-read for researchers and engineers working in this field."

This book provides an accessible and comprehensive tutorial on the key enabling technologies for 5G and beyond, covering both the fundamentals and the state-of-the-art 5G standards. The book begins with a historical overview of the evolution of cellular technologies and addresses the questions on why 5G and what is 5G. Following this, six tutorial chapters describe the fundamental technology components for 5G and beyond. These include modern advancements in channel coding, multiple access, massive multiple-input and multiple-output (MIMO), network densification, unmanned aerial vehicle enabled cellular networks, and 6G wireless systems. The second part of this book consists of five chapters that introduce the basics of 5G New Radio (NR) standards developed by 3GPP. These include 5G architecture, protocols, and physical layer aspects. The third part of this book provides an overview of the key 5G NR evolution directions. These directions include ultra-reliable low-latency communication (URLLC) enhancements, operation in unlicensed spectrum, positioning, integrated access and backhaul, air-to-ground communication, and non-terrestrial networks with satellite communication.

  • A comprehensive treatment on the fundamentals and standards of 5G and beyond by leading experts from academia and industry

  • Features a concise introduction to the fundamental technologies at the heart of 5G and beyond

  • Presents an accessible explanation of the basics of 5G NR standards including architecture, protocols, and physical layer aspects

  • Provides a definitive guide to 5G evolution directions that are essential for expanding 5G ecosystem and transforming vertical industries

编辑推荐:

1.本书由美国和芬兰知名大学教授以及爱立信资深研究员共同撰写,分享他们对无人机无线通信与组网的研究和洞见,由爱立信中国研发团队翻译。

2.本书为读者深度分析无人机无线通信的组网设计和性能,各大热门领域的实际应用,以及如何利用5G移动通信技术来设计无人机通信网络。

3.本书适合无人机与无线通信领域和相关行业的工程师,以及相关专业的学生和研究人员阅读参考。


内容简介:

本书深入探讨了支持无人机通信与组网研究的技术挑战与机遇。

作者根据无人机通信的技术挑战,精心挑选了一些主要问题,包括无人机通信网络性能分析和优化、物理层设计、轨迹规划、资源管理、多址接入、协同通信、标准化、控制和安全等等,逐步展开深入的技术分析和研究。

同时结合实际应用详细探讨,包括无人机交付系统、公共安全、物联网、虚拟现实和智能城市。

该书作为学习、开发和研究无人机通信系统的指南,适合从事相关行业从事无人机通信系统研发、集成、部署和维护的工程师,以及相关专业的学生和研究人员阅读参考。