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Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO System

机译:可重构智能表面辅助大规模MIMO系统的信道估计

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The uplink channel estimation for the reconfigurable intelligent surface (RIS) aided massive multiple-input multipleoutput (MIMO) system is investigated. By changing the phase matrix of the RIS, multiple channel measurements for the channel estimation are obtained. During the initial channel estimation that represents the initial state of the system, an iterative algorithm is proposed to estimate the channel matrix between the base station (BS) and the RIS, where the initial value of the iterative algorithm is well selected. After that, the channel matrix between the RIS and the user equipment (UE) is estimated. During the regular channel estimation where the channel matrix between the BS and the RIS is supposed to be known, the channel matrix between the RIS and the UE and that between the BS and the UE are sequentially estimated with the consideration on the pilot overhead. Simulation results verify the effectiveness of the proposed channel estimation methods.
机译:研究了可重构智能表面(RIS)辅助的大规模多输入多输出(MIMO)系统的上行链路信道估计。通过更改RIS的相位矩阵,可以获得用于信道估计的多个信道测量值。在代表系统初始状态的初始信道估计过程中,提出了一种迭代算法来估计基站(BS)与RIS之间的信道矩阵,其中迭代算法的初始值会得到很好的选择。此后,估计RIS与用户设备(UE)之间的信道矩阵。在应该知道BS和RIS之间的信道矩阵的常规信道估计期间,考虑导频开销,依次估计RIS和UE之间的信道矩阵以及BS和UE之间的信道矩阵。仿真结果验证了所提出的信道估计方法的有效性。

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