Reconfigurable Intelligent Surface-Assisted Secret Key Generation in Spatially Correlated Channels
Lei Hu, Guyue Li, Xuewen Qian, Aiqun Hu, and Derrick Wing Kwan Ng

TL;DR
This paper introduces a new RIS-assisted physical-layer key generation method that accounts for spatial correlation in channels, improving key generation rates and power efficiency in realistic scattering environments.
Contribution
It develops a general spatially correlated channel model and proposes a novel channel probing framework with optimized beamforming, enhancing PKG performance over traditional i.i.d. models.
Findings
Achieves about 5 dB transmit power gain with optimized RIS element spacing.
Significant increase in key generation rate with more RIS elements.
Marginal improvement in KGR with additional BS antennas.
Abstract
Reconfigurable intelligent surface (RIS) is a disruptive technology to enhance the performance of physical-layer key generation (PKG) thanks 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 base station (BS) and the RIS. However, the i.i.d. model is inaccurate for a typical RIS in an isotropic scattering environment and neglecting the existence of channel spatial correlation would possibly degrade the PKG performance. In this paper, we establish a general spatially correlated channel model and propose a new channel probing framework based on the transmit and the reflective beamforming. We derive a closed-form key generation rate (KGR) expression and formulate an optimization problem, which is solved by using the…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Hedgehog Signaling Pathway Studies · Antenna Design and Analysis
