Wireless Covert Communications Based on Intelligent Reflecting Surface Aided and Artificial Noise Enhanced

ZHOU Xiaobo; YU Hui; PENG Xu; WU Qingqing; ZHU Zede; GU Lichuan

doi:10.11999/JEIT211618

Volume 44 Issue 7

Jul. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(7): 2392-2399

ZHOU Xiaobo, YU Hui, PENG Xu, WU Qingqing, ZHU Zede, GU Lichuan. Wireless Covert Communications Based on Intelligent Reflecting Surface Aided and Artificial Noise Enhanced[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2392-2399. doi: 10.11999/JEIT211618

Citation:

ZHOU Xiaobo, YU Hui, PENG Xu, WU Qingqing, ZHU Zede, GU Lichuan. Wireless Covert Communications Based on Intelligent Reflecting Surface Aided and Artificial Noise Enhanced[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2392-2399. doi: 10.11999/JEIT211618

Citation:

ZHOU Xiaobo, YU Hui, PENG Xu, WU Qingqing, ZHU Zede, GU Lichuan. Wireless Covert Communications Based on Intelligent Reflecting Surface Aided and Artificial Noise Enhanced[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2392-2399. doi: 10.11999/JEIT211618

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Wireless Covert Communications Based on Intelligent Reflecting Surface Aided and Artificial Noise Enhanced

doi: 10.11999/JEIT211618 cstr: 32379.14.JEIT211618

ZHOU Xiaobo^{1, 2},
YU Hui²,
PENG Xu²,
WU Qingqing³,
ZHU Zede⁴,
GU Lichuan^{1
,
,}

1.
School of Information and Computer, Anhui Agricultural University, Hefei 230036, China
2.
School of Physics and Electronic Engineering, Fuyang Normal University, Fuyang 236037, China
3.
State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao 999078, China
4.
Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China

Funds: The National Natural Science Foundation of China (61901121, 61806187)

Received Date: 2021-12-24
Rev Recd Date: 2022-04-20

Available Online: 2022-04-25

Publish Date: 2022-07-25

Abstract

Abstract

In this work, an Intelligent Reflecting Surface (IRS) aided and Artificial Noise (AN) enhanced covert wireless communications is considered to improve the covert transmission performance. Firstly, the detection performance at Willie is analyzed and a lower bound on Willie’s minimum total detection error probability is presented. On this basis, an optimization problem that maximizes the effective throughput subject to the covertness constraint and the maximum AN transmit power constraint is formulated. The optimization problem is non-convex, which is generally difficult to tackle directly. Then, an alternating iterative algorithm based on Dinkelbach method is proposed to jointly design the IRS reflection beamforming and Alice’s transmit power together with Bob’s AN transmit power. In order to reduce the computational complexity, a low-complexity algorithm is further proposed to obtain analytical expressions for the corresponding optimization variables. Simulation results show that the proposed scheme improves significantly the covert transmission performance compared with the schemes without IRS and without AN.
- Covert communications,
- Intelligent Reflecting Surface(IRS),
- Full-duplex,
- Artificial Noise(AN)

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References(19)

References

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