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Interference Analysis between Advanced AeroMACS (Aeronautical Mobile Airport Communication Systems) and Drones Using SEAMCAT Based on the Monte Carlo Method

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2023, 19(4), pp.79-87
  • DOI : 10.29056/jsav.2023.12.08
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : November 30, 2023
  • Accepted : December 20, 2023
  • Published : December 31, 2023

Yu-Han Bak 1,  LEE IL KYOO ORD ID 2

1한국정보통신기술협회
2공주대학교

Accredited

ABSTRACT

With the gradual alleviation of the COVID-19 pandemic, there is a global surge in demand for international travel, leading to a continuous growth trend in air traffic volume. In response to accommodating air passengers and addressing this escalating demand, airports are experiencing an increased need for data traffic in their movement areas. To tackle this challenge, many countries are adopting the Advanced Airport Wireless Communication Network (AeroMACS). In South Korea, drones dedicated to firefighting and disaster response operate in the same 5.1 GHz band as AeroMACS. Therefore, this paper conducts interference analysis between AeroMACS and drones to determine the optimal separation distance for coexistence. Leveraging the Monte Carlo method, a valuable approach for probabilistically assessing interference, and utilizing the Spectrum Engineering Advanced Monte Carlo Analysis Tool (SEAMCAT), The interference analysis results indicate that, with a consistent separation distance of up to 25.2 km, the coexistence of the two systems is confirmed at a receiver sensitivity of -107.37 dBm.

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