Evaluating the Use of the 5th Generation of Mobile Communication Networks (5G) in Medical Devices

Title: Evaluating the Use of the 5th Generation of Mobile Communication Networks (5G) in Medical Devices.
Funding: This project is sponsored by Center for Devices and Radiological Health (CDRH), U.S Food and Drug Administration (FDA) through funding provided by the Oak Ridge Institute for Science and Education (ORISE).
Start Date: June 1, 2020.
Research Collaboration Agreement Duration: Five Years

Project Description

The U.S. Food and Drug Administration and the AI4Networks Research Center at the University of Oklahoma are collaborating to assess the challenges and recommended practices of using the 5th generation of mobile communication networks (5G) in medical devices and to research practical evaluation methods of 5G-enabled medical devices. 5G networks are capable of achieving extremely high-speed wireless connections and very fast network response times. Accordingly, 5G can facilitate innovative medical device applications like tele-surgery, real-time augmented reality and virtual reality, and systems for remote monitoring, diagnosis, and treatment.

Project Goals

It is anticipated that the results of this research will identify the 5G network parameters that can affect medical device operation and the limitations of using 5G in medical devices. This knowledge may enable the establishment of evaluation methods for 5G-enabled medical devices to support patient safety. Research findings will be made publicly available through peer-reviewed publications and/or presentations.

Active Members

PI: Dr. Adnan Abu-Dayya (Qatar University/QMIC)

PI: Dr. Ali Imran (University of Oklahoma)

Co-PI: Dr. Fethi Filali (QMIC, Qatar)

Research Scientist: Dr. Ali Rizwan (QMIC Qatar)

GRA: Asad Zaidi (Ph.D. student)

Industry Collaborators

3rd party SON vendor: AISON, LLC, USA

Integration of project outcomes into teaching

The project outcomes are being adapted into following course being taught by PI.

  • "Emerging Topics in 5G and Beyond" Offered in Sring 2018, 2019 and 2020.

Tutorials

  1. Ali Imran, Moving Towards Zero-Touch Automation, A Key Enabler for 6G: Addressing the Training Data Sparsity/Scarcity Challenge a half day tutorial at IEEE BlackSeaCom 2020, May 26-29, 2020.
  2. Ali Imran, Muhammad Ali Imran, Moving Towards Zero-Touch Automation, A Key Enabler for 6G: The Challenges & Opportunities a half day tutorial at IEEE Wireless Communications and Networking Conference, May 25-28, 2020.

Keynotes/Invited Talks

  1. Ali Imran "Leveraging AI for Zero-Touch Automation in 6G: How to Address the Training Data Sparsity/Scarcity Challenge?" keynote at IEEE 2nd International workshop on Data Driven Intelligence for Networks and Systems workshop at Infocom 2020, July 6-9, Toronto, Canada.
  2. Ali Imran "Towards Zero Touch Automation in Emerging Wireless Networks", keynote at 13th IEEE International Conference on Open Source System and Technologies 17-19 Dec, 2019.
  3. Ali Imran "Addressing the Hyper Parameterization Challenge in AI for Wireless Networks", panel talk at, IEEE Globecom, Dec, 9-13-2019
  4. Ali Imran "AI enabled Zero Touch automation for 5G and beyond" invited talk, 5G NA, Silicon Valley, Nov 13-14, 2019.

International Collaboration Opportunities

  • Project student has interned in the following company:
    1. New T-Mobile (Formerly known as Sprint), CT, USA in Spring, 2020.

Conference Attendance by Students

  • Project students have attended and presented their work at following conferences
    1. Provide this info.

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