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A Study on the Use of Cognitive Radio Networks in the Military Operation Environment

군 작전 환경에서의 인지 무선 네트워크 활용방안에 관한 연구

  • Speybrouck, Valentine (Department of Electronic Engineering, Korea Military Academy) ;
  • Despoux, Eve (Department of Electronic Engineering, Korea Military Academy) ;
  • Kim, Yongchul (Department of Electronic Engineering, Korea Military Academy)
  • Received : 2021.10.24
  • Accepted : 2021.12.20
  • Published : 2021.12.28

Abstract

The needs in terms of wireless communications are growing up both for civil and military applications. Therefore a constant improvement of this technology is required to meet customer wishes. One of its main shortcomings is the inefficient use of the spectrum in which a large part of the allocated bands of frequencies is unused. Since communication is crucial, spectrum shortage problems can lead a multi-national and coalition operation to failure. Cognitive Radio Networks (CRNs) are a promising technology which continuously analyses the spectrum searching for available frequencies. It can solve this spectrum issue by avoiding interferences, improving system-wide spectral efficiency, robustness to dynamic conditions and allowing more spectrum flexibility This paper specifically analyzed and presented the application of the CRNs in the military operational environment, and presented the appropriate method applicable to each actual operational situation.

무선 통신에 대한 요구는 민간 분야에서 뿐만 아니라 군 에서도 계속해서 증가하고 있다. 그러므로 무선 통신 기술의 개선이 사용자 요구에 부응할 필요가 있다. 무선 통신 기술의 활용에 있어서 주요 단점 중 하나는 할당된 주파수 대역의 많은 부분이 미 사용되는 스펙트럼의 비 효율적인 사용이라고 할 수 있다. 군 통신에 있어서 스펙트럼 부족문제는 다국적 연합 작전과 같은 상황에서 성공적인 작전을 수행하는데 제한사항이 될 수도 있다. 이러한 문제점을 해결할 수 있는 방안으로 인지무선 네트워크는 실시간 사용 가능한 스펙트럼을 찾아서 사용할 수 있도록 해주는 중요한 기술이다. 또한 인지무선 네트워크 기술은 간섭을 피하고 시스템 전체의 스펙트럼 효율성을 개선하며 다양한 환경에서 유연성을 제공하는 등 스펙트럼 관련 문제들을 해결할 수 있다. 본 논문은 인지무선 네트워크의 군 작전환경에서의 활용 방안을 구체적으로 분석하여 제시하였으며 실제 작전 상황별로 적용 가능한 최적의 방안을 제시하였다.

Keywords

Acknowledgement

This research was supported by Hwarang-dae research institute of Korea Military Academy in 2021

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