Energy-efficient Algorithm for Intelligent Reflecting Surface-aided Secure Communication Systems with Hardware Impairments

GAO Junpeng; ZHOU Jihua; ZHAO Tao; XU Yongjun; ZHAO Ruili

doi:10.11999/JEIT210976

Volume 44 Issue 7

Jul. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(7): 2349-2357

GAO Junpeng, ZHOU Jihua, ZHAO Tao, XU Yongjun, ZHAO Ruili. Energy-efficient Algorithm for Intelligent Reflecting Surface-aided Secure Communication Systems with Hardware Impairments[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2349-2357. doi: 10.11999/JEIT210976

Citation:

GAO Junpeng, ZHOU Jihua, ZHAO Tao, XU Yongjun, ZHAO Ruili. Energy-efficient Algorithm for Intelligent Reflecting Surface-aided Secure Communication Systems with Hardware Impairments[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2349-2357. doi: 10.11999/JEIT210976

Citation:

GAO Junpeng, ZHOU Jihua, ZHAO Tao, XU Yongjun, ZHAO Ruili. Energy-efficient Algorithm for Intelligent Reflecting Surface-aided Secure Communication Systems with Hardware Impairments[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2349-2357. doi: 10.11999/JEIT210976

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Energy-efficient Algorithm for Intelligent Reflecting Surface-aided Secure Communication Systems with Hardware Impairments

doi: 10.11999/JEIT210976 cstr: 32379.14.JEIT210976

GAO Junpeng¹,
ZHOU Jihua^{1, 2, 3
,
,},
ZHAO Tao^{2, 3},
XU Yongjun^{1, 3},
ZHAO Ruili¹

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Aerospace New Generation Communications Co. Ltd, Chongqing 401332, China
3.
Chongqing Key Laboratory of Complex Environment Communications, Chongqing 400030, China

Funds: The National Natural Science Foundation of China (61601071, 62071078), The National Key Research and Development Program (2019YFC1511300), The Natural Science Foundation of Chongqing (cstc2019jcyj-xfkxX0002)

Received Date: 2021-09-14
Accepted Date: 2021-12-28
Rev Recd Date: 2021-12-21

Available Online: 2022-01-13

Publish Date: 2022-07-25

Abstract

Abstract

To mitigate the effects of shadow fading and obstacle blocking, Intelligent Reflecting Surface (IRS) has become an effective technology to improve Energy Efficiency (EE) and reduce hardware cost of wireless communication systems. However, traditional radio Resource Allocation (RA) algorithms have ignored the impact of Hardware Impairments (HIs) of system’s transceivers. Since the distorted received signals are caused by the nonlinearity of amplifiers and the influence of phase noise. so that this type of algorithm can degrade system performance. To deal with this issue, Hardware Impairments of the transceiver and the influence of eavesdroppers is considered, and the problem of energy-saving optimization of hardware impairment in IRS-assisted secure communication systems is investigated. Firstly, an EE-based maximization resource optimization problem is formulated under the maximum transmit power constraint of the base station and the minimum secure rate constraints of users. Secondly, the original non-convex problem is transformed into a convex problem by using the auxiliary variable substitution, semidefinite relaxation and Dinkelbach’s method. Finally, simulation results show that the proposed algorithm is improved 8.3% in terms of security EE and is reduced by 43.5% in terms of the outage probability of legitimate users by comparing it with the traditional RA algorithms without HIs. Therefore, the proposed algorithm has better security and hardware damage resistance.
- Secure communication,
- Intelligent Reflecting Surface(IRS),
- Energy Efficiency(EE) maximization,
- Hardware Impairments(HIs)

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References(21)

References

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