Unmanned aerial vehicles (UAVs) are foreseen to constitute promising airborne communication devices as a benefit of their superior channel quality. But UAV-to-ground (U2G) communications are vulnerable to eavesdropping. Hence, we conceive a sophisticated physical layer security solution for improving the secrecy rate of multi-antenna aided U2G systems. Explicitly, the secrecy rate of the U2G MIMO wiretap channels is derived by using random matrix theory. The resultant explicit expression is then applied in the joint optimization of the MIMO transceiver and the UAV location relying on an alternating optimization technique. Our numerical results show that the joint transceiver and location optimization conceived facilitates secure communications even in the challenging scenario, where the legitimate channel of confidential information is inferior to the eavesdropping channel.
翻译:预计无人驾驶飞行器(UAVs)将构成有希望的空中通信装置,这是其高级频道质量的一个好处。但是无人驾驶飞行器到地面(U2G)的通信很容易被窃听。因此,我们设想了一个复杂的物理层安全解决方案,用于提高多防带辅助U2G系统的保密率。很明显,U2G MIMO窃听频道的保密率是通过随机矩阵理论得出的。随后,在联合优化MIMO收发报机和UAV地点时应用了明确的表达方式,其依据是交替优化技术。我们的数字结果表明,所设想的联合收发报机和地点优化有利于确保通信安全,即使在挑战性情况下,保密信息的合法渠道比窃听频道低。