Communications and High-Precision Positioning (CHP2): Secure Traffic and Resource Management Using Reinforcement Learning

Owen Ma, Andrew Herschfelt, Hanguang Yu, Shunyao Wu, Sharanya Srinivas, Yang Li, Hyunseok LEE, Chaitali Chakrabarti, Daniel W. Bliss

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

4 Scopus citations


The Communications and High-Precision Positioning (CHP2) system enables secure communications and positioning services between networks of cooperative RF users. CHP2 features flexible physical and data link layers that may be tuned to prioritize communications or positioning precision to support traffic and resource management for different network conditions. We apply reinforcement learning techniques to optimize positioning performance and network throughput for a simple CHP2 network configuration. In this example, a central arbiter manages a grid of ground users tracking aerial users moving around the network. This arbiter dynamically optimizes each ground user to maximize network throughput while maintaining a minimum positioning precision on each aerial user. We demonstrate that this arbiter successfully manages the ground user resources to track the aerial targets with a minimal number of interactions. This reduces the required resources to maintain the network, which reduces the spectral congestion and power consumption for sparse networks or supports more users in congested networks.

Original languageEnglish (US)
Title of host publicationDASC 2020 - 39th Digital Avionics Systems Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728198255
StatePublished - Oct 11 2020
Event39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020 - Virtual, San Antonio, United States
Duration: Oct 11 2020Oct 16 2020

Publication series

NameAIAA/IEEE Digital Avionics Systems Conference - Proceedings
ISSN (Print)2155-7195
ISSN (Electronic)2155-7209


Conference39th AIAA/IEEE Digital Avionics Systems Conference, DASC 2020
Country/TerritoryUnited States
CityVirtual, San Antonio


  • Alternative positioning
  • Autonomous vehicles
  • Communications
  • Deep Q networks (DQN)
  • Navigation
  • RF convergence
  • Spectrum sharing
  • Surveillance (CNS)
  • Timing (APNT)
  • V2V communications

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering


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