A secure beamforming method for IRS-assisted cognitive radio networks based on RSMA
An intelligent reflecting surface(IRS)-assisted cognitive radio network that combines cognitive radio network,IRS,and rate splitting multiple access(RSMA)technology has been investigated.This network exhibits huge potential in improving the spectral efficiency by fully utilizing the advantages of IRS and RSMA.However,this network is susceptible to security issues,for example,multiple users share the same spectrum,and the interference and privacy can be high-likely breached.Considering both the spectrum efficiency and security efficiency,we propose a joint secure beamforming design method for primary and secondary networks based on RSMA.This method makes full use of the interference generated by secondary users to suppress potential eavesdroppers and achieves the balance between the security efficiency and energy efficiency.Under this framework,the primary user secrecy energy efficiency optimization problem is studied with various constraints,and an effective solution is achieved through the alternating iterative algorithm combined with the continuous convex approximation and the Taylor expansion method.This method can make full use of the interference of the secondary network transmitter in the IRS-assisted cognitive radio network based on RSMA,and thus improve the security performance of the primary network.The joint secure beamforming design can achieve the trade-off between the transmission efficiency and the security performance.
beamformingrate splitting multiple access(RSMA)intelligent reflecting surface(IRS)secrecy energy efficiency
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