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Secrecy communications of intelligent reflecting surfaces aided NOMA networks
Affiliation:1. Key Laboratory of Networks and Cloud Computing Security of Universities in Chongqing, School of Electronic and Information Engineering, Southwest University, Chongqing 400715, PR China;2. School of Cyberspace Security, Beijing Institute of Technology, Beijing 100081, PR China
Abstract:This paper investigates the physical layer security of an intelligent reflecting surface (IRS) aided non-orthogonal multiple access (NOMA) networks, where a remote user is regarded as an eavesdropper to intercept the information of nearby user. To evaluate the security performance of IRS-aided NOMA networks, a problem of maximizing achievable secrecy rate is formulated via jointly optimizing the beamforming and phase shifting. More specifically, we aim to tackle the non-convex problem by optimizing beamforming vector as well as phase shifting matrix with the assistance of block coordinate descent (BCD) and minorization maximization (MM) algorithms. Numerical results illustrate that: 1) The secrecy rates of IRS-aided NOMA with BCD and MM algorithms are superior to that of orthogonal multiple access schemes; 2) With increasing the number of reflecting elements, the secrecy rates of IRS-aided NOMA networks are achieved carefully; and 3) The IRS-aided NOMA networks are capable of relieving the transmission pressure of base station.
Keywords:Intelligent reflecting surface  Non-orthogonal multiple access  Physical layer security  Block coordinate descent
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