Joint Transmit and Reflective Beamforming for RIS-assisted Secret Key Generation
Lei Hu, Guyue Li, Xuewen Qian, Derrick Wing Kwan Ng, and Aiqun Hu

TL;DR
This paper proposes a new RIS-assisted secret key generation framework that accounts for spatial correlation in channels, deriving optimal beamformers and demonstrating significant performance gains over i.i.d. models.
Contribution
It introduces a spatially correlated channel model for RIS-assisted PKG and derives optimal transmit and reflective beamformers to maximize key generation rate.
Findings
The correlated channel model outperforms the i.i.d. model in key generation rate.
Optimal beamformers derived for the correlated model significantly improve performance.
Simulation shows about 5 dB gain over existing methods with specific channel conditions.
Abstract
Reconfigurable intelligent surface (RIS) is a promising technique to enhance the performance of physical-layer key generation (PKG) due to its ability to smartly customize the radio environments. Existing RIS-assisted PKG methods are mainly based on the idealistic assumption of an independent and identically distributed (i.i.d.) channel model at both the transmitter and the RIS. However, the i.i.d. model is inaccurate for a typical RIS in an isotropic scattering environment. Also, neglecting the existence of channel spatial correlation would degrade the PKG performance. In this paper, we establish a general spatially correlated channel model in multi-antenna systems and propose a new PKG framework based on the transmit and the reflective beamforming at the base station (BS) and the RIS. Specifically, we derive a closed-form expression for characterizing the key generation rate (KGR) and…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Antenna Design and Analysis · Hedgehog Signaling Pathway Studies
