论文标题
MMWave大型MIMO系统中的RIS辅助杂种杂种设计
RIS-Aided Angular-Based Hybrid Beamforming Design in mmWave Massive MIMO Systems
论文作者
论文摘要
本文提出了一种可重新配置的智能表面（RIS）辅助表面和基于角度的杂交边界（AB-HBF）技术，用于毫米波（MMWAVE）大量多输入多输入多输出（MIMO）系统。所提出的RIS-AB-HBF架构包括三个阶段：（i）RF BeamFormer，（ii）基带（BB）预编码器/组合仪和（iii）RIS相移设计。首先，为了减少RF链的数量和通道估计开销，RF光束形成器的设计基于基于3D几何的MMWave通道模型，使用通道的慢时变角参数。其次，通过利用从BB阶段看到的减小尺寸的有效通道来设计BB预编码器/组合仪。然后，调整RI的相移，以通过自然启发的粒子群优化（PSO）算法最大化系统的可实现速率。说明性仿真结果表明，在AB-HBF系统中使用RISS有可能在系统设计中的可靠性和灵活性方面提供更有希望的优势。
This paper proposes a reconfigurable intelligent surface (RIS)-aided and angular-based hybrid beamforming (AB-HBF) technique for the millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. The proposed RIS-AB-HBF architecture consists of three stages: (i) RF beamformer, (ii) baseband (BB) precoder/combiner, and (iii) RIS phase shift design. First, in order to reduce the number of RF chains and the channel estimation overhead, RF beamformers are designed based on the 3D geometry-based mmWave channel model using slow time-varying angular parameters of the channel. Second, a BB precoder/combiner is designed by exploiting the reduced-size effective channel seen from the BB stages. Then, the phase shifts of the RIS are adjusted to maximize the achievable rate of the system via the nature-inspired particle swarm optimization (PSO) algorithm. Illustrative simulation results demonstrate that the use of RISs in the AB-HBF systems has the potential to provide more promising advantages in terms of reliability and flexibility in system design.
