Spectrum Collaboration Challenge (SC2)

Abstract

The Spectrum Collaboration Challenge (SC2) program catalyzed the development of systems, called Collaborative Intelligent Radios (CIRs) that intelligently share and optimize wireless spectrum usage without prior knowledge of each other's operating characteristics. SC2 addressed the increasing demand for and reliance on unfettered wireless access. Today, assured access to the wireless spectrum involves restricting particular types of radios and radio operators to certain sets of fixed, pre-determined frequencies. Although this spectrum allocation approach helps ensure different radio signals do not interfere with each other, it is inherently inefficient and vulnerable to attack. First, allocated portions of the spectrum can remain unused or underutilized. Second, adversaries can easily characterize static spectrum allocations, identifying which ones to exploit or attack. SC2 addressed these challenge by leveraging artificial intelligence and machine learning to optimize use of the spectrum in real-time. In particular, SC2 participants were challenged to develop techniques that allow collaboration among dissimilar communications technologies. SC2 conducted two preliminary competitions and one championship event over three years. The resulting technology will define a new class of radio systems that efficiently thrive in the absence of pre-planned spectrum.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2021
Source ID
0d9b5a2d020378f59f14917416a9c63e

Tags

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy

Related Documents