论文标题
智能反射表面辅助MMWave的宽带通道估计大量MIMO系统
Broadband Channel Estimation for Intelligent Reflecting Surface Aided mmWave Massive MIMO Systems
论文作者
论文摘要
本文调查了智能反射表面（IRS）辅助毫米波（MMWave）的宽带通道估计（CE）。由于基站（BS）和被动IRS的主动大型MIMO的巨大尺寸，此类系统的CE是一项具有挑战性的任务。为了解决这个问题，本文提出了用于IRS辅助的MMWave大量MIMO系统的压缩感测（CS）CE解决方案，从而利用了MMWave的大规模阵列的角通道稀疏性，以改进CE，以减少驾驶员的驾驶员的头顶，以改进CE。具体来说，我们首先提出了一个下行链路飞行器传输框架。通过基于先验的知识设计试验信号，即已知占主导地位的BS-TO-IRS通道，可以根据CS理论共同估计BS-to-user和IRS-to-user的高维通道。此外，为了有效估计宽带通道，利用了分布式的正交匹配追踪算法，其中利用了不同子载体的通道共享的常见稀疏性。此外，为了打击功率泄漏的冗余词典还设计用于增强的CE性能。仿真结果证明了所提出的方案的有效性。
This paper investigates the broadband channel estimation (CE) for intelligent reflecting surface (IRS)-aided millimeter-wave (mmWave) massive MIMO systems. The CE for such systems is a challenging task due to the large dimension of both the active massive MIMO at the base station (BS) and passive IRS. To address this problem, this paper proposes a compressive sensing (CS)-based CE solution for IRS-aided mmWave massive MIMO systems, whereby the angular channel sparsity of large-scale array at mmWave is exploited for improved CE with reduced pilot overhead. Specifically, we first propose a downlink pilot transmission framework. By designing the pilot signals based on the prior knowledge that the line-of-sight dominated BS-to-IRS channel is known, the high-dimensional channels for BS-to-user and IRS-to-user can be jointly estimated based on CS theory. Moreover, to efficiently estimate broadband channels, a distributed orthogonal matching pursuit algorithm is exploited, where the common sparsity shared by the channels at different subcarriers is utilized. Additionally, the redundant dictionary to combat the power leakage is also designed for the enhanced CE performance. Simulation results demonstrate the effectiveness of the proposed scheme.
