Joint Power Allocation and User Association Optimization for IRS-Assisted mmWave Systems

Intelligent reflecting surface (IRS) is a potential technology to build programmable wireless environment in future communication systems. In this paper, we consider multi-IRS-assisted multi-base station (multi-BS) multi-user millimeter wave (mmWave) downlink system, exploiting IRS extend mmWave signal coverage blind spots. Considering the impact of on user association multi-BS systems, formulate sum rate maximization problem by jointly optimizing passive beamforming at IRS, power allocation and association. This leads an intractable non-convex problem, for which tackle propose computationally affordable iterative algorithm, capitalizing alternating optimization, sequential fractional programming (SFP) forward-reverse auction (FRA). particular, optimized utilizing SFP method, solved through means standard convex optimization handled network based FRA algorithm. Simulation results demonstrate that proposed algorithm can achieve significant performance gains, e.g., it provide up 147% higher compared with benchmark 116% energy efficiency amplify-and-forward relay.