Physical Layer Security with the Aid of Compressive Sensing in the Presence of Non-Ideal Relays by Removing the Effect of Hardware Impairments by Providing an Iterative Method

Document Type : Original Article

Authors

1 Master's، Qom University of Technology, Qom, Iran.

2 Associate Professor, Department of Telecommunications and Electronics, Qom University of Technology, Qom, Iran.

Abstract

In wireless communications, the channel is available to everyone and therefore, any receiver in the telecommunication coverage area can receive the transmitted signal. In such cases, unauthorized users may use this feature to eavesdrop the information, disrupt data transmission, reduce network performance, and so on. Recently, using compressive sensing in physical layer security has attracted the attention of many researchers. Compressive sensing is very useful when the signals are sparse or compressible such as in image signal processing or image recognition. This is because it can be considered as an encryption system, sampling, compression and encryption, while maintaining a secret matrix. In this paper, we examine the physical layer security in a cooperative wireless communication based on several consecutive relays. In such a model system, the equivalent channel matrix is used as the secure measurement matrix. Since the majority of research work in this field consider relay hardware to be ideal and free of hardware impairments, in this research work, this practical assumption is made in the physical layer security with the help of compressive sensing. We consider a cooperative communication with multiple-hops. Finally, we will propose a solution to improve the secrecy performance of such a system. Simulation results show that in worst case, the screcy rate increases at least 10 percent and this would be increased to 120 percent in the best case. Moreover, computational complexity in terms of simulation run time is increased by 22 percent.

Keywords

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https://creativecommons.org/licenses/by/4.0/

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History

  • Receive Date: 07 August 2022
  • Revise Date: 08 November 2023
  • Accept Date: 16 December 2023
  • Publish Date: 18 January 2024

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