Deep Learning Collaborative Radios - Team Zylinium Phase 3

Abstract

Refined both the core radio features in our radio with more granular erasure coding and a more flexible MAC with dynamic slot reallocation and FDMA, as well as the reasoning components of the radio that control when we change our operating state to attempt more points and hog more spectrum. Demonstrated flawless co-existence with both active and passive incumbents. It is encouraging to be part of the scientific process while also working to build technology that is truly useful. We plan to participate in the POWDER follow on exercises to further flush out the applicability of our technology.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2020
Accession Number
AD1107855

Entities

People

  • Robert J. Baxley
  • Roy S. Thompson

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Artificial Intelligence
  • Carrier Frequencies
  • Central Processing Units
  • Coding
  • Communication Channels
  • Computer Programming
  • Deep Learning
  • Field Programmable Gate Arrays
  • Frequency Division Multiple Access
  • Html
  • Modulation
  • Multiple Access
  • Orthogonal Frequency Division Multiplexing
  • Time Division Multiple Access
  • Wireless Communications

Readers

  • Defense Technology Research and Development.
  • Joint Military Operations and Doctrine.
  • Radio communications and signal processing.

Technology Areas

  • AI & ML