TY  - JOUR
T1  - HDRL-Based Cooperative Jamming Method for Secure Battlefield Network
AU  - Jeon, Kakyeom 
AU  - Jeon, Youngil 
AU  - Yu, Changhun 
AU  - Seo, Junghyun 
AU  - Jung, Bang Chul 
AU  - Lee, Howon 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2025
DA  - 2025/1/1
DO  - 10.7840/kics.2025.50.1.70
KW  - Battlefield network
KW  - Electronic warfare
KW  - Cooperative jamming
KW  - HDRL
KW  - SJNR
AB  - 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.