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Location-based channel estimation and pilot assignment for massive MIMO systems

机译:大型MIMO系统的基于位置的信道估计和导频分配

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In this paper, a location-based channel estimation algorithm is proposed for massive multi-input multi-output (MIMO) systems. By utilizing the property of the steering vector, a fast Fourier transform (FFT)-based post-processing is introduced after the conventional pilot-aided channel estimation. Under the condition that different users with the same pilot sequence have non-overlapping angle-of-arrivals (AOAs), the proposed channel estimation algorithm is capable of distinguishing these users effectively. To cooperate with the location-based channel estimation, a pilot assignment algorithm is also proposed to ensure that the users in different cells using the same pilot sequence have different AOAs at base station. The simulation results demonstrate that the proposed scheme can reduce the inter-cell interference caused by the reuse of the pilot sequence and thus improves the overall system performance significantly.
机译:在本文中,提出了一种基于位置的信道估计算法,用于大量多输入多输出(MIMO)系统。通过利用转向器向量的性质,在传统的导频辅助信道估计之后引入基于后处理的快速傅里叶变换(FFT)。在具有相同导频序列的不同用户具有非重叠角度(AOAs)的情况下,所提出的信道估计算法能够有效地区分这些用户。为了与基于位置的信道估计合作,还提出了一种导频分配算法,以确保使用相同的导频序列的不同小区中的用户在基站处具有不同的AOA。仿真结果表明,所提出的方案可以减少由试验序列的重用引起的细胞间干扰,从而显着提高了整体系统性能。

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