Joint Jamming, Beamforming and IRS Energy Harvesting Parameters Optimization in an IRS-Assisted Secure NOMA Networks

In this paper, we consider an intelligent reflecting surface (IRS) aided non-orthogonal multiple access (NOMA) network to achieve the secure communication via artificial jamming when eavesdropper can access an IRS reflection link. Therefore, NOMA and jamming signals are sent using a multi-antenna base station (BS) to the users in the presence of a single-antenna passive eavesdropper with assistance of IRS with the capability of energy harvesting. The aim of the paper is the sum - secrecy rate maximization of the users by optimizing the parameters of energy harvesting of IRS, jamming and beamforming vectors with the quality of service requirement (QoS) of the network constraints. For solving the problem, an iterative algorithm is proposed based on the convex method to obtain the optimal values of the problem. Numerical results verify that the secure transmission in the proposed IRS-NOMA network can be effectively guaranteed in the presence of eavesdropper.

کلیدواژه ها:

NOMA system ، IRS ، Secrecy rate ، Eavesdropper ، Convex optimization ، Beamforming vectors