Artificial Noise Aided Hybrid Precoding Design for Secure mmWave MISO Systems With Partial Channel Knowledge

作者：Ramadan Yahia R^*; Minn Hlaing

来源：IEEE Signal Processing Letters, 2017, 24(11): 1729-1733.

DOI：10.1109/LSP.2017.2751459

• Artificial noise (AN)
• hybrid precoding
• millimeter-wave (mmWave)
• partial channel knowledge
• physical layer security

In this letter, we propose a hybrid analog-digital precoder design to enhance the physical layer security of millimeter-wave (mmWave) multiple-input single-output (MISO) systems with partial channel knowledge. We derive a closed-form expression for the average signal-to-interference-and-noise ratio (SINR) of the eavesdropper (Eve) as a function of the hybrid precoder. Using the average SINRs of Eves, we derive a secrecy rate lower bound. Then, we propose a low-complexity artificial-noise-aided (AN-aided) hybrid precoder design to maximize the secrecy rate lower bound. Numerical results show that the proposed AN-aided hybrid precoder achieves comparable performance to that of the fully digital precoder, with much lower hardware complexity. Moreover, the proposed AN-aided hybrid precoder outperforms the existing hybrid precoder design. Effect of finite-resolution phase shifters on the proposed precoder is also investigated.

• 出版日期2017-11