Downlink and Uplink Intelligent Reflecting Surface Aided Networks: NOMA and OMA

Intelligent reflecting surfaces (IRSs) are envisioned to provide reconfigurable wireless environments for future communication networks. In this paper, both downlink and uplink IRS-aided non-orthogonal multiple access (NOMA) orthogonal (OMA) networks studied, in which an IRS is deployed enhance the coverage by assisting a cell-edge user device (UD) communicate with base station (BS). To characterize system performance, new channel statistics of BS-IRS-UD link Nakagami- $m$ fading investigated. For each scenario, closed-form expressions outage probability ergodic rate derived. gain further insight, diversity order high signal-to-noise ratio (SNR) slope scenario obtained according asymptotic approximations high-SNR regime. It demonstrated that affected number elements Nakagami parameters, but not related these parameters. Simulation results validate our analysis reveal superiority over full-duplex decode-and-forward relay.