Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

IEEE ICC2022 The 2nd Workshop on Spectrum Sharing Technology for Next Generation Communications

May 16–20, 2022 - Seoul, Korea

IEEE International Conference on Communications 2022

Call for Papers
Due to the ever-increasing demands on wireless communications and limited radio spectrum resources, dynamic spectrum sharing (DSS) is a key solution to improve the ability of next generation (NG) wireless communications systems to monitor, access, use, and share spectrum. DSS requires new design, optimization and measurement processes as compared to current methods. There is an urgent need to develop standards and techniques for efficient DSS among heterogeneous systems and networks operating in licensed, unlicensed, license-assisted, or tiered-access bands, and to develop algorithms and hardware to conduct accurate sensing and measurement of spectrum use.

The 5G and the forthcoming 6G systems involve deployment of small cells with high geographical and traffic densities and may require that they share spectrum with incumbents and unlicensed services. One technology to reduce the R&D and deployment cost is the open radio access network (O-RAN), which was recently introduced to enhance user selection and interoperability of multiple vendors’ equipment and protocol stacks. To enhance geographical coverage, the 5G and pre-6G systems will include Non-Terrestrial Network (NTN) besides land mobile networks. Further, DSS between Radar and wireless communication systems will enhance the overall spectrum efficiency. Besides traditional measurement and optimization techniques, artificial intelligence (AI) and machine learning (ML) have found new applications in DSS systems such as signal detection and classification, and resource allocation. Yet, most AI/ML methods lacked transparency of the learning and decision process, and they also relied heavily on large training datasets. Developing explainable, actionable, and efficient AI/ ML techniques for DSS is a critical research topic. This workshop provides a venue to bring together standards developers, leading researchers and engineers from government, industry, and academia to present and discuss recent results on DSS technology, and to promote its expedited development.  We seek original completed and unpublished work not currently under review by any other journal/magazine/conference.

Topics of interest include, but are not limited to:

  • Recent policy and standardization progress on spectrum allocation and unlicensed spectrum sharing.
  • Intra- and inter-system DSS for pre-6G, 5G NR-U, 4G, IoT, WLAN (e.g., IEEE 802.11ay/11ax/11be), WPAN, and other wireless communication systems.
  • DSS in Open Radio Access Network (O-RAN) or Public Safety communication systems.
  • DSS and Radio Astronomy in Non-Terrestrial Network related to 5G and pre-6G systems.
  • New DSS techniques and applications on multi-RAT coexistence systems in the 3.5 GHz Citizens Broadband Radio Service (CBRS) band, the 6 GHz band, mmWave bands, ISM bands, and other bands.
  • DSS between radar systems and communication systems.
  • Explainable and efficient Artificial Intelligence/Machine Learning (AI/ML) techniques for DSS analysis, design, and measurement.
  • Coexistence system modeling, analysis, and evaluation, such as stochastic geometry, aggregate interference, and traffic models for system planning and optimization.
  • New DSS spectrum sensing techniques and signal classification methods.
  • Experimental methods and metrology for DSS, such as adaptive measurement and uncertainty evaluation, and DSS testing results using procedures given by 3GPP, IEEE, ANSI, ETSI, and other standards development organizations.
  • Evaluation and mitigation of hardware imperfections, receiver susceptibility, interference, and noise.

Event Presentations
Download the presentation file of Dr. Nick Laneman
Download the presentation file of Dr. Melissa Midzor
Download the presentation file of Dr. Murat Torlak
Download the presentation file of Dr. Ying-Chang Liang
Download the presentation file of Dr. Hazem Refai

Workshop Committee Members Co-chairs

  • Yao Ma, National Institute of Standards and Technology (NIST),  USA, [at] (yao[dot]ma[at]nist[dot]gov)
  • Liuqing Yang,  University of Minnesota, USA, qingqing [at] (qingqing[at]umn[dot]edu)
  • David Griffith, NIST, USA, david.griffith [at] (david[dot]griffith[at]nist[dot]gov)   

Biography of Yao Ma:  Yao Ma received the  Ph.D. degree in electrical engineering from the National University of Singapore, in 2000.  His past appointments included: MTS at the Centre for Wireless Communications in Singapore, Post-doctoral Fellow at the University of Toronto, Assistant Professor at the Iowa State University, Research Faculty member at the Wright State University, Research Engineer at the U.S. Air force Research Lab (AFRL), and Senior Computer Scientist at the Infoscitex Inc. Since July 2015, he has been with the Communications Technology Laboratory (CTL), NIST, U.S. Department of Commerce. He serves as a Project Leader in Wireless Coexistence. His technical expertise covers areas in wireless communications, signal processing, and networks, with recent focus on wireless coexistence, wireless system measurement, protocols and analysis, and AI and machine learning. He is a senior member of IEEE (2008), an associate Editor for IEEE Transactions on Vehicular Technology, and a former editor for IEEE Transactions on Wireless Communications.

Biography of Liuqing Yang:   Liuqing Yang received her Ph.D. degree in Electrical and Computer Engineering from the University of Minnesota, Minneapolis, in 2004. She is presently a Professor with University of Minnesota. Before joining University of Minnesota, she has been a faculty member with the Department of Electrical and Computer Engineering, at University of Florida (2004-2010) and Colorado State University (2010-2020). Her general interests are in communications and networking – subjects on which she has published more than 370 journal and conference papers, 4 book chapters and 5 books. Dr. Yang became an IEEE Fellow in 2014. She was the recipient of the ONR Young Investigator Program (YIP) award in 2007, and the NSF Faculty Early Career Development (CAREER) award in 2009, the Best Paper Award at IEEE ICUWB’06, ICCC’13, ITSC’14, GLOBECOM’14, ICC’16, WCSP’16, GLOBECOM’18, ICCS’18 and ICC’19. She is the Editor in Chief for IET Communications, Executive Editorial Committee (EEC) member for IEEE Transactions on Wireless Communications, and Senior Editor for IEEE Transactions on Signal Processing. She has also served as editor for IEEE Transactions on Communications, IEEE Transactions on Intelligent Transportation Systems, IEEE Intelligent Systems, and PHYCOM: Physical Communication, and as program chair, track/symposium or TPC chair for many conferences.

Biography of David Griffith: David Griffith is with the Wireless Networks Division in the Communications Technology Laboratory (CTL) at the NIST. Prior to NIST, he was a senior engineer at Raytheon, where he performed modeling and simulation studies of satellite communications systems. He received the Ph.D. degree in electrical engineering from the University of Delaware in 1998. He has authored or co-authored nearly 100 publications, including two book chapters, on non-linear signal processing, satellite communications, optical communications, smart grid communications, public safety communications, and machine learning for communications in the Industrial Internet of Things (IIoT). His current work includes modeling wireless communication systems and measurement uncertainty in machine learning systems. His work includes communications for the smart grid and the Internet of Things (IoT), performance analysis and metrics for public safety communications, including analysis of coexistence with other radio access technologies, and resource allocation for 5G wireless networks using machine learning. He has been a Senior Member of the IEEE since 2004. He served as Co-Editor of the Standards Section of Optical Networks Magazine from 2000 to 2003 and was Technical Program Co-Chair of the Optical Networking Symposium of the Second Annual International Conference on Broadband Networks (BroadNets 2005).

 Technical Program Committee members

  • Brian Mark,  George Mason University
  • Lei Chen, Georgia Southern University
  • Jason Coder, NIST
  • Vanlin Sathya, University of Chicago
  • Thao Nguyen, NIST
  • Steve Blandino, NIST
  • Xiang-Gen Xia, University of Delaware
  • Susanna Mosleh,        NIST    
  • Hazem Refai, University of Oklahoma
  • Aziz Kord, NIST
  • Tanguy Ropitault, NIST
  • Walid Saad, Virginia Tech
  • Ljiljana Simic, RWTH Aachen University, Germany
  • Ruoyu Sun, CableLabs Inc
  • Ning Xie, Shenzhen University, China
  • Dazhen Gu, NIST
  • Zhenyu Xiao,   Beihang University, China
  • Marina Petrova, Royal Institute of Technology, Sweden
  • Yulong Zou,  NJUPT, China
  • Rongqing Zhang,  Tongji University, China

Workshop schedule (virtual and in-person).
The workshop schedule is given by

Live session on May 16, 2022 (KST).
9:00-9:30 am, May 16, 2022, (KST)

Keynote speaker 1,  Nick Laneman (University of Notre Dame)
Talk title: Teaming Up to Advance Monitoring and Sharing of the Radio Frequency Spectrum
Host: David Griffith

Biography: Dr. Nick Laneman is Director of SpectrumX - An NSF Spectrum Innovation Center, Founding Director and currently Co-Director of the Wireless Institute in the College of Engineering, and Professor in the Department of Electrical Engineering at the University of Notre Dame. He joined the faculty in August 2002 shortly after earning a Ph.D. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT). His research and teaching interests are in wireless system design, radio spectrum access, technology standards and intellectual property, and regulatory policy. Laneman is an IEEE Fellow, has received the IEEE Kiyo Tomiyasu Award, the Presidential Early-Career Award for Scientists and Engineers (PECASE), and the NSF CAREER Award, and has been recognized twice by Thomson Reuters as an ISI Highly Cited Researcher. He is author or co-author on over 145 publications and is co-inventor on 8 U.S. patents.

9:30-11:00 am, May 16, 2022, (KST)
Invited panel,
Topic: Next Generation Spectrum Sharing Technology: Opportunity, Challenges and Roadmap (II)

Panel Members:

  • Murat Torlak (National Science Foundation),
  • Ying-Chang Liang (UESTC, China),
  • Hazem Refai (University of Oklahoma).

Host: Yao Ma

Murat Torlak received the M.S. and Ph.D. degrees in electrical engineering from The University of Texas at Austin, in 1995 and 1999, respectively. Since August 1999, he has been with the Department of Electrical and Computer Engineering, The University of Texas, where he has been promoted to the rank of a Full Professor. He is currently serving as a Rotating Program Director at the U.S. National Science Foundation (NSF). His current research interests include experimental verification of wireless networking systems, cognitive radios, millimeter-wave automotive radars, millimeter-wave imaging systems, and interference mitigation in radio telescopes.

YING-CHANG LIANG (F’11) is currently a Professor with the University of Electronic Science and Technology of China, China, where he leads the Center for Intelligent Networking and Communications (CINC). He was a Professor with The University of Sydney, Australia, a Principal Scientist and Technical Advisor with the Institute for Infocomm Research, Singapore, and a Visiting Scholar with Stanford University, USA. His research interests include wireless networking and communications, cognitive radio, symbiotic communications, dynamic spectrum access, the Internet-of-Things, artificial intelligence, and machine learning techniques. Dr. Liang has been recognized by Thomson Reuters (now Clarivate Analytics) as a Highly Cited Researcher since 2014. He received the Prestigious Engineering Achievement Award from The Institution of Engineers, Singapore, in 2007, the Outstanding Contribution Appreciation Award from the IEEE Standards Association in 2011, and the Recognition Award from the IEEE Communications Society Technical Committee on Cognitive Networks in 2018. He is the recipient of numerous paper awards, including the IEEE Communications Society Award for Advances in Communication in 2022, the IEEE Communications Society Stephen O. Rice Prize in 2021, and the IEEE Vehicular Technology Society Jack Neubauer Memorial Award in 2014. He is a Fellow of IEEE, and a foreign member of Academia Europaea. He is the Founding Editor-in-Chief of the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS: COGNITIVE RADIO SERIES, and the Key Founder and now the Editor-in-Chief of the IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING. He is also serving as an Associate Editor-in-Chief for China Communications. He was a Guest/Associate Editor of the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, the IEEE JOURNAL OF SELECTED AREAS IN COMMUNICATIONS, the IEEE Signal Processing Magazine, the IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, and the IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORK. He was also an Associate Editor-in-Chief of the World Scientific Journal on Random Matrices: Theory and Applications. He was a Distinguished Lecturer of the IEEE Communications Society and the IEEE Vehicular Technology Society. He was the Chair of the IEEE Communications Society Technical Committee on Cognitive Networks, and served as the TPC Chair and Executive Co-Chair of the IEEE Globecom’17.

Hazem Refai  is currently the Williams Chair of telecommunication and networking with the School of Electrical and Computer Engineering Telecommunication Program, The University of Oklahoma (OU), Tulsa, OK, USA. He is also the Founder and the Director of the Wireless Electromagnetic Compliance and Design (WECAD) Center, OU. WECAD’s mission is to conduct basic and applied research examining wireless coexistence. He has published over 226 refereed papers for national and international conferences and journal articles. His research interests include the development of optical wireless communication, physical and medium access control layers to enhance wireless coexistence, and cognitive radios and networks. He was the IEEE ComSoc Tulsa Chapter President and a North American Distinguished Lecturer Tour Coordinator.

11:00-11:30 am, May 16, 2022, (KST)

Keynote speaker 2,  Melissa Midzor (NIST)
Talk title:  Spectrum Sharing Implications for the Testbed Community
Host: Yao Ma

Melissa Midzor is the Program Manager for the National Advanced Spectrum and Communications Test Network (NASCTN), a chartered multi-agency organization that provides a network for robust test processes and validated measurement data necessary to develop, evaluate and deploy spectrum sharing technologies that can improve access to the spectrum by both federal agencies and non-federal spectrum users.  She is also the co-chair of the Interagency Working Group - Advanced Wireless Test Platforms (AWTP), formed in 2020 to help the Nation address research challenges and opportunities for improving access and coordination of nationwide wireless test platforms.  At NIST,  she leads the Spectrum Technology and Research Division, developing innovative measurement methods and tools to promote novel and efficient use of spectrum through improved access, sharing, atmospheric sensing, and precision timing.

Important Dates
Paper submission deadline: January 20, 2022
Notification of acceptance:  March 06, 2022
Camera-ready papers:  March 15, 2022

Submission link

Paper Submission
The workshop accepts only novel, previously unpublished papers. The page length limit for all initial submissions for review is SIX (6) printed pages (10-point font) and it must be written in English.  All final submissions of accepted papers must be written in English with a maximum paper length of SIX (6) printed pages (10-point font), including figures. No more than ONE (1) additional printed page (10-point font) may be included in final submissions and the extra page (the 7th page) will incur an over length page charge of USD 100. For more information, please see the IEEE ICC 2022 official website:


Created September 30, 2021, Updated June 1, 2022