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Volume 44 Issue 7
Jul.  2022
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LEI Weijia, ZHAI Zexu, LEI Hongjiang, TANG Hong. Design of Physical Layer Security Scheme for Intelligent Reflecting Surface Assisted Multi-User System with Imperfect CSI[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2299-2308. doi: 10.11999/JEIT220405
Citation: LEI Weijia, ZHAI Zexu, LEI Hongjiang, TANG Hong. Design of Physical Layer Security Scheme for Intelligent Reflecting Surface Assisted Multi-User System with Imperfect CSI[J]. Journal of Electronics & Information Technology, 2022, 44(7): 2299-2308. doi: 10.11999/JEIT220405

Design of Physical Layer Security Scheme for Intelligent Reflecting Surface Assisted Multi-User System with Imperfect CSI

doi: 10.11999/JEIT220405
Funds:  The National Natural Science Foundation of China (61971080)
  • Received Date: 2022-04-06
  • Rev Recd Date: 2022-06-21
  • Available Online: 2022-06-27
  • Publish Date: 2022-07-25
  • This paper investigates the optimization problem of physical layer security for an Intelligent Reflecting Surface (IRS) assisted multi-user downlink system. In each time slot, the information is sent to one user and is kept confidential from to other users, so it is a secure transmission system with multiple eavesdroppers. The target user of the information is the legitimate receiver and the others are regarded as eavesdroppers. The Channel State Information (CSI) of the eavesdropping channels owned by the base station is outdated because of the time variability of the channels, and there is error between the outdated CSI and the real CSI. To maximize system security rate in the worst case, the beamforming vectors of the signal and the artificial noise, and the IRS phase shifts are jointly optimized. The original optimization problem is a non-convex positive semi-definite programming problem.The problem is transformed into a convex problem and solved by using slack variables, penalty-based, Charnes-Cooper transformation, alternating optimization and other methods. The simulation results show that the proposed optimization algorithm can effectively improve the system security rate compared with other benchmark schemes.
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