Title: AI and Privacy in Collaborative Spectrum Sharing: Perspectives from the Spectrum Collaboration Challenge and Beyond

Date and Time: April 27, 2022 at 10AM ET

Registration Process: Please register at https://tinyurl.com/2p9fus4s

Abstract: Dynamic spectrum access has the potential to greatly improve the utilization of the radio spectrum over existing static allocation techniques. Systems like Citizens Broadband Radio Service (CBRS) are first steps in realizing this vision. However, CBRS is still very limited in its need for centralized coordination (via spectrum access systems) and the potentially long delays (up to 24 hours) in issuing new spectrum grants. In the DARPA Spectrum Collaboration Challenge (SC2), teams performed distributed and collaborative spectrum sharing with spectrum usage patterns changing on time-scales of seconds. This was facilitated by the exchange of information via a collaboration channel, including teams’ usage of spectrum across time and space, as well as information on teams’ performance in delivering traffic. Although this data greatly helps in developing strategies for spectrum use, it also presents risks from both the disclosure of private information and from the potential for manipulating systems’ actions through misreporting. In this talk, I will discuss our experiences in collaborative spectrum sharing during the SC2, our work on applying ML to these problems, and our work on providing privacy in distributed spectrum sensing. I will conclude with a discussion of open problems in these areas.

Bio: John M. Shea is a Professor and the Associate Chair for Academics in the Department of Electrical and Computer Engineering at the University of Florida, where he has been on the faculty since 1999. His research is in the areas of wireless communications and networking, with emphasis on military communications, software-defined radio, networked autonomous systems, and security and privacy in communications. He was co-leader of Team GatorWings, the overall winner of the DARPA Spectrum Collaboration Challenge (DARPA’s fifth grand challenge), in which the teams used software-defined radios to implement intelligent radio networks for collaborative spectrum sharing. He received the Lifetime Achievement Award for Technical Achievement from the IEEE Military Communications Conference (MILCOM) and is a two-time winner of the Ellersick Award from the IEEE Communications Society for the Best Paper in the Unclassified Program of MILCOM. He has been an editor for IEEE Transactions on Wireless Communications, IEEE Wireless Communications magazine, and IEEE Transactions on Vehicular Technology. He is the author of more than 130 refereed journal and conference papers, as well as six book chapters.

About the Monthly Virtual Seminar Series:

The IEEE TCCN Security Special Interest Group conducts a monthly virtual seminar series to highlight the challenges in securing the next generation (xG) wireless networks. The talks will feature cutting edge research addressing both technical and policy issues to advance the state-of-the-art in security techniques, architectures, and algorithms for wireless communications.