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In this paper, the downlink security performance of an unmanned aerial vehicle (UAV)-assisted cognitive relay system is studied in the presence of multiple eavesdroppers. Specifically, a UAV is deployed to assist in relaying signals between the secondary source and the secondary destination over a radio spectrum licensed to the primary system. The problem of maximizing the average secrecy rate (ASR) in the downlink is addressed by jointly optimizing the UAV’s flight trajectory and the transmit power of both the UAV and the source. The interference effects between the primary and secondary systems are also thoroughly analyzed. An iterative algorithm is proposed to successfully solve the ASR maximization problem based on the block coordinate descent technique. Simulation results demonstrate that the proposed system achieves a higher ASR compared to benchmark systems.

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Maximizing Secrecy Performance in UAV-Based Cognitive Relay Systems

  • 会议论文

  • 发表日期：

    2026年

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  • Thanh Trung Nguyen,
  • Tran Manh Hoang,
  • Le Huu Luyen,
  • T. T. Huyen Le,
  • Xuan Nam Tran

摘要

In this paper, the downlink security performance of an unmanned aerial vehicle (UAV)-assisted cognitive relay system is studied in the presence of multiple eavesdroppers. Specifically, a UAV is deployed to assist in relaying signals between the secondary source and the secondary destination over a radio spectrum licensed to the primary system. The problem of maximizing the average secrecy rate (ASR) in the downlink is addressed by jointly optimizing the UAV’s flight trajectory and the transmit power of both the UAV and the source. The interference effects between the primary and secondary systems are also thoroughly analyzed. An iterative algorithm is proposed to successfully solve the ASR maximization problem based on the block coordinate descent technique. Simulation results demonstrate that the proposed system achieves a higher ASR compared to benchmark systems.