IRS-Assisted Hybrid Secret Key Generation

• Published in: Symmetry (Basel) Vol. 15; no. 10; p. 1906
• Main Authors: Zhang, Meixiang, Zhuang, Ziyue, Kim, Sooyoung
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-10-2023
• Subjects: Data transmission; intelligent reflecting surface; Internet of Things; Methods; Optimization; Performance degradation; phase quantization; secret key generation; Tax administration and procedure; Wireless communications; Canada
• ISSN: 2073-8994; 2073-8994
• DOI: 10.3390/sym15101906

Physical layer secret key (SK) generation is known to be an efficient means to achieve a high secrecy rate, on the condition that dynamic channel state information (CSI) is provided. For this reason, the secrecy performance is highly degraded in a static environment. The intelligent reflecting surface (IRS) is a promising solution to create dynamic randomness, and thus lead to enhanced secrecy performance regardless of the user environments. This paper proposes an IRS-assisted physical layer SK generation scheme, by efficiently combining phase information of the direct and reflected channel information in a hybrid way. In particular, the initial SKs are obtained by adopting an efficient phase quantization method with symmetric bit allocation to complex numbered channel estimates. Simulation results show that the proposed hybrid phase quantization (PQ) can improve the SK generation rate and the key disagreement probability in a static environment.