Cooperative Radar and Communications Coexistence Using Reinforcement Learning

Owen Ma, Alex R. Chiriyath, Andrew Herschfelt, Daniel Bliss

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The growing population of radar and communications systems poses a challenge to spectral coexistence. In this preliminary study, we investigate the utility of reinforcement learning in facilitating cooperative radar and communications coexistence. We also highlight subtleties and challenges associated with employing reinforcement learning in this context. We simulate a small joint radar-communications network whose members communicate while tracking a moving target's range. A network management system must learn how to distribute allotted bandwidth to jointly maximize communications and radar performance. Considering several constraints and assumptions in the simulation, the agent sensibly chooses actions that accomplish the required performance behavior.

Original languageEnglish (US)
Title of host publicationConference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages947-951
Number of pages5
ISBN (Electronic)9781538692189
DOIs
StatePublished - Feb 19 2019
Event52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 - Pacific Grove, United States
Duration: Oct 28 2018Oct 31 2018

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2018-October
ISSN (Print)1058-6393

Conference

Conference52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
CountryUnited States
CityPacific Grove
Period10/28/1810/31/18

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Keywords

  • Estimation Theory
  • Information Theory
  • Joint Radar-Communications
  • Machine Learning
  • Reinforcement Learning
  • Spectrum Sharing

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Ma, O., Chiriyath, A. R., Herschfelt, A., & Bliss, D. (2019). Cooperative Radar and Communications Coexistence Using Reinforcement Learning. In M. B. Matthews (Ed.), Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 (pp. 947-951). [8645080] (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2018-October). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2018.8645080