HDRL-Based Cooperative Jamming Method for Secure Battlefield Network 


Vol. 50,  No. 1, pp. 70-73, Jan.  2025
10.7840/kics.2025.50.1.70


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  Abstract

Effective jamming techniques for communication and control signals are required in modern electronic warfare to counter unmanned aerial vehicles (UAVs) with three-dimensional mobility. In this paper, we propose a hierarchical deep reinforcement learning (HDRL)-based cooperative jamming method using ground jammers (GJs) and UAV jammers (UJs) for battlefield network security. The proposed method aims to maximize the jamming effect on malicious UAVs (MUs) through two types of jammers. In particular, the proposed method reduces the computational complexity of jamming through a hierarchical framework.

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[IEEE Style]

K. Jeon, Y. Jeon, C. Yu, J. Seo, B. C. Jung, H. Lee, "HDRL-Based Cooperative Jamming Method for Secure Battlefield Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 1, pp. 70-73, 2025. DOI: 10.7840/kics.2025.50.1.70.

[ACM Style]

Kakyeom Jeon, Youngil Jeon, Changhun Yu, Junghyun Seo, Bang Chul Jung, and Howon Lee. 2025. HDRL-Based Cooperative Jamming Method for Secure Battlefield Network. The Journal of Korean Institute of Communications and Information Sciences, 50, 1, (2025), 70-73. DOI: 10.7840/kics.2025.50.1.70.

[KICS Style]

Kakyeom Jeon, Youngil Jeon, Changhun Yu, Junghyun Seo, Bang Chul Jung, Howon Lee, "HDRL-Based Cooperative Jamming Method for Secure Battlefield Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 1, pp. 70-73, 1. 2025. (https://doi.org/10.7840/kics.2025.50.1.70)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880