Physical Layer Security Performance Analysis of IRS-Aided Cognitive Radio Networks

Cognitive radio (CR) acts as a significant player in enhancing the spectral efficiency (SE) of wireless telecommunications; simultaneously, the intelligent reflecting surface (IRS) technique is a valid technique for increasing the confidentiality properties of wireless telecommunications systems through the modulation of the amplitude and phase shift of the channel. Therefore, we take into consideration an IRS-assisted multiple-input single-output (MISO) CR system to raise the confidentiality rate, which is composed of a primary network with a primary receiver (PR) and an eavesdropping link, as well as a secondary network with a secondary receiver (SR) and SR transmitter (SR-TX). In particular, we minimize the SR's transmit power under the interference temperature (IT) and confidentiality capacity constraints via the joint optimization of the beamforming vector and artificial noise (AN) constraint matrix at SR-TX together with the phase shift matrix of IRS. Numerical outcomes indicate that various transmit antenna values and the IRS element numbers at SR-TX can greatly reduce transmit power while assuring secure communication.

Automated summary

In this study, we consider an IRS-assisted MISO CR system to enhance the confidentiality rate in wireless communication by modulating the amplitude and phase shift of the channel. By jointly optimizing the beamforming vector and artificial noise constraint matrix at SR-TX, along with the phase shift matrix of IRS, we minimize the SR's transmit power under IT and confidentiality capacity constraints. Numerical results show that different transmit antenna values and IRS element numbers at SR-TX can significantly reduce transmit power while ensuring secure communication.