Intelligent Reflecting Surface Aided NOMA for Millimeter-Wave Massive MIMO With Lens Antenna Array

In this paper, we propose a downlink intelligent reflecting surface (IRS) aided non-orthogonal multiple access (NOMA) for millimeter-wave (mmWave) massive MIMO with lens antenna array, i.e., IRS-aided mmWave beamspace NOMA, where the single-antenna users without direct-link but connected to base station (BS) aid of IRS are grouped as one NOMA group. Considering power leakage problem in channel and per-antenna constraint, two multi-beam selection strategies BS-IRS link under models, 2-dimension (2D) model 3-dimension (3D) model, respectively, corresponding RF chain configuration designed, respectively. Then, formulate solve optimization maximizing weighted sum rate by jointly optimizing active beamforming at BS passive IRS, alternating (AO) method above joint problem. Especially, different from stochastic method, based on beam-splitting technique, initialize feasible solution proposed AO conditional transmit minimization is formulated solved. Through simulations, performance verified.