Aeromacs analyses and simulations for spectrum planning

Gheorghisor, Izabela; Lakshminarayan, Vinay; Globus, Leonid; Box, Frank

doi:10.1109/icnsurv.2017.8011896

Cited by 1 publication

(1 citation statement)

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“…Gheorghisor et al [ 27 , 28 ] calculated the offered traffic load through Monte Carlo simulations for various scenarios in which there were 200 aircraft, 40 ground vehicles, and 40 sensors. The derived offered load was used as input for the newly developed AeroMACS model based on the Riverbed Modeler Tool, and the spectrum planning of the Dallas–Fort Worth airport was performed through simulation.…”

Section: Aeromacs Data Traffic Modelmentioning

confidence: 99%

Calculation of AeroMACS Spectrum Requirements Based on Traffic Simulator

Shin¹,

Kim

Lee

et al. 2021

Sensors

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In this paper, we propose a methodology for calculating the necessary spectrum requirements of aeronautical mobile airport communication system (AeroMACS) to provide various airport communication services. To accurately calculate the spectrum requirement, it is necessary to evaluate the AeroMACS traffic demand of the peak time and statistical data on the packet traffic generated at the airport. Because there is no AeroMACS traffic model and real trace data, we have developed the AeroMACS traffic simulator based on the report of Single European Sky Air Traffic Management Research (SESAR). To calculate the spectrum requirements, the AeroMACS traffic simulator is combined with the methodology of ITU-R M.1768-1. The developed traffic simulator reflects AeroMACS traffic priorities and can generate the required traffic according to its location in the airport. We observed the spectrum requirement by changing the number of sectors and the spectral efficiency. To show the feasibility of our methodology, we applied it to the case of Incheon International Airport in Korea. The simulation results show that the average bandwidth of 0.94 MHz is required in the ground area and 8.59 MHz is required in the entire airport.

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Section: Aeromacs Data Traffic Modelmentioning

confidence: 99%