Cooperative Radar and Communications Coexistence Using Reinforcement Learning

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

doi:10.1109/ACSSC.2018.8645080

Cooperative Radar and Communications Coexistence Using Reinforcement Learning

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 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 language	English (US)
Title of host publication	Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	947-951
Number of pages	5
ISBN (Electronic)	9781538692189
DOIs	https://doi.org/10.1109/ACSSC.2018.8645080
State	Published - Feb 19 2019
Event	52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 - Pacific Grove, United States Duration: Oct 28 2018 → Oct 31 2018

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2018-October
ISSN (Print)	1058-6393

Conference

Conference	52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
Country	United States
City	Pacific Grove
Period	10/28/18 → 10/31/18

Keywords

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

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/ACSSC.2018.8645080

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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

Cooperative Radar and Communications Coexistence Using Reinforcement Learning. / Ma, Owen; Chiriyath, Alex R.; Herschfelt, Andrew; Bliss, Daniel.

Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. ed. / Michael B. Matthews. IEEE Computer Society, 2019. p. 947-951 8645080 (Conference Record - Asilomar Conference on Signals, Systems and Computers; Vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ma, O, Chiriyath, AR, Herschfelt, A & Bliss, D 2019, Cooperative Radar and Communications Coexistence Using Reinforcement Learning. in MB Matthews (ed.), Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018., 8645080, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2018-October, IEEE Computer Society, pp. 947-951, 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018, Pacific Grove, United States, 10/28/18. https://doi.org/10.1109/ACSSC.2018.8645080

Ma O, Chiriyath AR, Herschfelt A, Bliss D. Cooperative Radar and Communications Coexistence Using Reinforcement Learning. In Matthews MB, editor, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. IEEE Computer Society. 2019. p. 947-951. 8645080. (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2018.8645080

Ma, Owen ; Chiriyath, Alex R. ; Herschfelt, Andrew ; Bliss, Daniel. / Cooperative Radar and Communications Coexistence Using Reinforcement Learning. Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. editor / Michael B. Matthews. IEEE Computer Society, 2019. pp. 947-951 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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