Performance Analysis of Intelligent Reflecting Surface Assisted NOMA Networks

Intelligent reflecting surface (IRS) is a promising technology to enhance the coverage and performance of wireless networks. We consider application IRS non-orthogonal multiple access (NOMA), where base station transmits superposed signals users by virtue an IRS. The IRS-assisted NOMA networks with imperfect successive interference cancellation (ipSIC) perfect (pSIC) investigated invoking 1-bit coding scheme. In particular, we derive new exact asymptotic expressions for both outage probability ergodic rate $m$ -th user ipSIC/pSIC. Based on analytical results, diversity order pSIC in connection number elements channel ordering. high signal-to-noise radio (SNR) slope obtained. throughput energy efficiency IRS-NOMA are discussed delay-limited delay-tolerant transmission modes. Additionally, orthogonal (IRS-OMA). Numerical results presented substantiate our analyses demonstrate that: i) behaviors superior that IRS-OMA relaying schemes; ii) notation="LaTeX">$M$ has larger than benchmarks. However, exceeds schemes low SNR regime; iii) have ability achieve enhanced compared conventional cooperative communications.