Abstract

This paper studies dynamic data communications between airplanes and a control tower, where the control tower needs to monitor the state of each aircraft close to the airport or on the ground in real time. Given limited communication bandwidth, it is impossible for the control tower to communicate with all aircrafts at the same time. This paper focuses on the problem of optimal scheduling of data communications for the control tower to acquire information from aircrafts to minimize tracking errors. A dynamic learning problem with limited communication bandwidth is formulated in this paper where the objective is to minimize the total variance of real-time tracking. To solve the problem, a dynamic scheduling algorithm for data communications is proposed, which prioritizes data communications based on the tracking variances of the aircrafts, channel conditions and importance of the information. Our simulations demonstrate that our algorithm outperforms policies such as a round robin policy.

Original languageEnglish (US)
Title of host publicationPHM 2018 - 10th Annual Conference of the Prognostics and Health Management Society
EditorsMarcos Orchard, Anibal Bregon
PublisherPrognostics and Health Management Society
ISBN (Electronic)9781936263059
StatePublished - Aug 24 2018
Event10th Annual Conference of the Prognostics and Health Management Society, PHM 2018 - Philadelphia, United States
Duration: Sep 24 2018Sep 27 2018

Publication series

NameProceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
ISSN (Print)2325-0178

Conference

Conference10th Annual Conference of the Prognostics and Health Management Society, PHM 2018
CountryUnited States
CityPhiladelphia
Period9/24/189/27/18

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering
  • Health Information Management
  • Computer Science Applications

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