no code implementations • 11 Oct 2023 • Chen Chen, Junqing Zhang, Yingying Chen
Physical layer key generation based on reciprocal and random wireless channels has been an attractive solution for securing resource-constrained low-power wide-area networks (LPWANs).
no code implementations • 28 Apr 2023 • Chen Chen, Junqing Zhang, Tianyu Lu, Magnus Sandell, Liquan Chen
Different from most previous works that adopt iterative optimisation to solve the problem, the proposed DNN-based algorithm directly obtains the BS precoding and IRS phase shifts as the output of the DNN.
no code implementations • 22 Feb 2023 • Chuanting Zhang, Shuping Dang, Junqing Zhang, Haixia Zhang, Mark A. Beach
The Radio frequency (RF) fingerprinting technique makes highly secure device authentication possible for future networks by exploiting hardware imperfections introduced during manufacturing.
no code implementations • 19 Jan 2023 • Chen Chen, Junqing Zhang, Tianyu Lu, Magnus Sandell, Liquan Chen
Different from most previous works that adopt the iterative optimization to solve the problem, the proposed DNN based algorithm directly obtains the BS precoding and IRS phase shifts as the output of the DNN.
no code implementations • 6 Nov 2022 • Xinwei Zhang, Guyue Li, Junqing Zhang, Linning Peng, Aiqun Hu, Xianbin Wang
Deep learning-based physical-layer secret key generation (PKG) has been used to overcome the imperfect uplink/downlink channel reciprocity in frequency division duplexing (FDD) orthogonal frequency division multiplexing (OFDM) systems.
no code implementations • 6 Jul 2022 • Guanxiong Shen, Junqing Zhang, Alan Marshall, Mikko Valkama, Joseph Cavallaro
During the inference, a multi-packet inference approach is further leveraged to improve the classification accuracy in low SNR scenarios.
no code implementations • 6 Jul 2022 • Guanxiong Shen, Junqing Zhang, Alan Marshall, Roger Woods, Joseph Cavallaro, Liquan Chen
In this paper, we propose a receiver-agnostic RFFI system that is not sensitive to the changes in receiver characteristics; it is implemented by employing adversarial training to learn the receiver-independent features.
no code implementations • 3 Mar 2022 • Guolin Yin, Junqing Zhang, Guanxiong Shen, Yingying Chen
When the system was applied in the target domain, few samples were used to fine-tune the feature extractor for domain adaptation.
no code implementations • 28 Nov 2021 • Guanxiong Shen, Junqing Zhang, Alan Marshall, Mikko Valkama, Joseph Cavallaro
Data augmentation is adopted to improve low SNR RFFI performance.
no code implementations • 6 Jul 2021 • Guanxiong Shen, Junqing Zhang, Alan Marshall, Joseph Cavallaro
Radio frequency fingerprint identification (RFFI) is a promising device authentication technique based on the transmitter hardware impairments.
no code implementations • 30 Dec 2020 • Guanxiong Shen, Junqing Zhang, Alan Marshall, Linning Peng, Xianbin Wang
Radio frequency fingerprint identification (RFFI) is an emerging device authentication technique that relies on intrinsic hardware characteristics of wireless devices.
no code implementations • 19 Oct 2019 • Lu Yang, Yansong Gao, Junqing Zhang, Seyit Camtepe, Dhammika Jayalath
Unfortunately, there is no experimental validation for communications environments when there are large-scale and small-scale fading effects.