Distance measuring equipment is one of the most frequently used Navigational aids in aviation. The rate of data transferring in communication channel of distance measuring equipment limits the capacity of navigational aid service. In the paper, we consider a queuing model of distance measuring equipment in order to estimate service capacity limits. A continuous-time Markov chain is used in a model for stationary equations. A reply efficiency of distance measuring equipment transponder and probability of losses in interrogations are studied for a different number of airspace users. Obtained results approve transponder usage to support distance measuring with capacity up to 100 airspace users with various operational modes of interrogators

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Language:

English

Type

Refereed Conference Proceedings

Firstpage Number

250

Lastpage Number

253

Keywords

capacity, markovian queuing model, navigational aid, Markov chain, Distance Measuring Equipment, DME, Reply efficiency, probability of losses, dead time

DOI
10.1109/ACIT49673.2020.9208984

Publisher

2020 10th International Conference on Advanced Computer Information Technologies (ACIT)

Year of publishing

2020

Citation

DSTU

Turovska A., Ostroumov I.V. Queuing Model of Distance Measuring Equipment for Capacity Estimation. 2020 10th International Conference on Advanced Computer Information Technologies (ACIT). 2020. P. 250-253. DOI: 10.1109/ACIT49673.2020.9208984.

IEEE

A. Turovska and I.V. Ostroumov, "Queuing Model of Distance Measuring Equipment for Capacity Estimation," 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) , September 2020, pp. 250-253, doi:10.1109/ACIT49673.2020.9208984.

Harvard

Turovska A., and Ostroumov I.V., 2020, 9. Queuing Model of Distance Measuring Equipment for Capacity Estimation. In 2020 10th International Conference on Advanced Computer Information Technologies (ACIT) (pp. 250-253).

Springer

Turovska, A., Ostroumov, I.V.: Queuing Model of Distance Measuring Equipment for Capacity Estimation. In: 2020 10th International Conference on Advanced Computer Information Technologies (ACIT), pp. 250-253 (2020). doi:10.1109/ACIT49673.2020.9208984.

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