[Federal Register Volume 84, Number 145 (Monday, July 29, 2019)]
[Notices]
[Pages 36625-36626]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2019-16003]


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NATIONAL SCIENCE FOUNDATION


Notice of Workshop on Artificial Intelligence & Wireless 
Spectrum: Opportunities and Challenges

AGENCY: Networking and Information Technology Research and Development 
(NITRD) National Coordination Office (NCO), National Science 
Foundation.

ACTION: Notice of workshop.

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[[Page 36626]]

SUMMARY: This workshop will focus on the opportunities and challenges 
posed by the application of existing and new Artificial Intelligence 
(AI) techniques in the wireless spectrum context.

DATES: August 28-29, 2019.

ADDRESSES: The workshop will take place on August 28 from 9:00 a.m. to 
5:00 p.m. (ET) and August 29, from 8:30 a.m. to 12:30 p.m. (ET), at the 
Griffiss Institute Center for Information Assurance, Rome, NY. Due to 
meeting space limitations, in-person attendance is by invitation only; 
remote participation for the plenary sessions will be available via 
webcast. The agenda and information about how to join the webcast will 
be available the week of the event at: https://www.nitrd.gov/nitrdgroups/index.php?title=Artificial-Intelligence-Wireless-Spectrum.

FOR FURTHER INFORMATION CONTACT: Joyce Lee at (202) 459-9674 or email 
[email protected]. Individuals who use a telecommunications 
device for the deaf (TDD) may call the Federal Information Relay 
Service (FIRS) at 1-800-877-8339 between 8 a.m. and 8 p.m., Eastern 
time, Monday through Friday.

SUPPLEMENTARY INFORMATION:
    Overview. This notice is issued on behalf of the NITRD Wireless 
Spectrum Research and Development (WSRD) Interagency Working Group 
(IWG). Agencies of the WSRD IWG are conducting a workshop focused on 
the application of existing and new AI techniques in the wireless 
spectrum context.
    Wireless spectrum has been managed and utilized over many decades 
through a complex regulatory framework and a patchwork of policies. The 
current manual process of assessing spectrum needs is a growing problem 
due to the high-level of interdependencies in the spectrum domain. 
Existing and emerging methods for allocating spectrum are often driven 
by small studies that suffer from inherent biases. As a result, 
spectrum policies and usage are often sub-optimal and rigid, preventing 
efficient use of wireless spectrum. To maintain our Nation's global 
leadership in 5G technologies and deployment, we need fast and 
efficient wireless spectrum policy creation, adoption, and management 
of wireless spectrum.
    AI techniques have been successfully applied in many other domains, 
such as image classification or autonomous navigation, which previously 
relied on either model-based approaches or a vital human-in-the-loop 
element. Despite the differences between multimedia and radio frequency 
signals, researchers have shown that the judicious integration of AI 
techniques can provide similar gains in the wireless spectrum domain.
    Potential areas to be explored in this workshop include, but are 
not limited to:

 Artificial Intelligence for Future Communications Networks
 Artificial Intelligence for Dynamic Spectrum Allocation and 
Policy Management
 Artificial Intelligence for Spectrum Sharing

    Experts from government, private industry, and academia will 
discuss current use cases, effective technology, tools, and practices, 
while identifying gaps and issues that will require additional research 
to resolve.
    Workshop Objectives. Identify areas where artificial intelligence 
techniques can help increase efficiency of wireless spectrum use; and 
discuss ongoing efforts in federal, industrial and academic domains to 
utilize AI techniques in the wireless spectrum domain.
    Submitted by the National Science Foundation in support of the 
Networking and Information Technology Research and Development (NITRD) 
National Coordination Office (NCO) on July 24, 2019.

Suzanne H. Plimpton,
Reports Clearance Officer, National Science Foundation.
[FR Doc. 2019-16003 Filed 7-26-19; 8:45 am]
 BILLING CODE 7555-01-P