• NITRD Coordination Areas

    The Networking and Information Technology Research and Development (NITRD) Program's member agencies coordinate their NITRD research activities and plans by Program Component Areas (PCAs) or program focus areas. For each PCA, agency representatives meet in an Interagency Working Group (IWG) to exchange information and collaborate on research plans and activities such as testbeds, workshops, and cooperative solicitations.

    NITRD Coordination Areas

Artificial-Intelligence-Wireless-Spectrum

From NITRDGROUPS
Jump to: navigation, search


  • Artificial Intelligence & Wireless Spectrum: Opportunities and Challenges

    Agencies of the NITRD Wireless Spectrum Research & Development (WSRD) Interagency Working Group (IWG) are conducting a workshop focused on the application of existing and new AI techniques in the wireless spectrum context...


    Artificial Intelligence & Wireless Spectrum: Opportunities and Challenges
NITRD Groups -> WSRD IWG


Artificial Intelligence & Wireless Spectrum:

Opportunities and Challenges

August 28-29, 2019

Griffiss Institute, Rome, NY


Logistics

Workshop Synopsis

Agencies of the NITRD Wireless Spectrum Research & Development (WSRD) Interagency Working Group (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. As the U.S. moves forward as a leader in 5G technologies and deployment, it critically needs fast and efficient wireless spectrum policy creation, adoption, and management of wireless spectrum.

Artificial Intelligence techniques have been successfully applied in many other domains, such as image classification or autonomous navigation, which previously relied on either a model-based approaches or a vital human-in-the-loop element. Despite the differences between multimedia and RF signals, researchers have shown that the judicious integration of Artificial Intelligence techniques can provide similar gains in the wireless spectrum domain.

Potential areas to be explored in this workshop include, but are not limited to:

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 Goals

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.


Workshop Panels and Breakout Sessions

Opening Panel: The Current State of Artificial Intelligence

Discussion Theme 1: Artificial Intelligence for Future Communications Networks

Breakout Topics:

Discussion Theme 2: Artificial Intelligence for Dynamic Spectrum Allocation and Policy Management

Breakout Topics

Discussion Theme 3: Artificial Intelligence for Spectrum Sharing

Breakout Topics:

Participant Biographies

Presentations







Page updated: July 29, 2019