Dual-UAV Enabled Cooperative Jamming for Energy-Efficient Secure Communications

With the rapid development of unmanned aerial vehicle (UAV) technology, UAVs have demonstrated significant potential in communication assistance. However, the dynamic nature of wireless channels and evolving security threats pose significant challenges to maintaining secrecy in UAV-assisted communications. To solve the related issues, a dual-UAV-enabled cooperative jamming method based on an enhanced QMIX is proposed for energy-efficient secure communications. Specifically, an optimization problem is formulated to simultaneously maximize the secrecy rate while minimizing the energy consumption during the flight. Subsequently, the optimization problem is projected to the Decentralized Partially Observable Markov Decision Processes (Dec-POMDP), and the enhanced QMIX algorithm is proposed as the solution with the prioritized experience replay and the multi-agent cooperation. Simulation results demonstrate that the proposed method significantly improves communication secrecy while maintaining low energy consumption, proving its effectiveness and scalability in dynamic environments.