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首页> 外文会议>IEEE/CIC International Conference on Communications in China >CSI Feedback Based on Spatial and Frequency Domains Compression for 5G Multi-User Massive MIMO Systems
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CSI Feedback Based on Spatial and Frequency Domains Compression for 5G Multi-User Massive MIMO Systems

机译：5G多用户大规模MIMO系统中基于空间和频域压缩的CSI反馈

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摘要

Accurate channel state information (CSI) acquisition with less feedback overhead is a hot topic for multi-user massive multiple-input multiple-output. In 3GPP Release 15 New Radio, Type II codebook which consists of wideband beam group and beam combination coefficients (BCCs) of subband has been introduced to obtain high resolution CSI for performance improvement. But it requires large feedback overhead. In this paper, to reduce feedback overhead, CSI feedback based on spatial domain and frequency domain (FD) compression by using their correlations is studied. We first propose the BCCs are calculated based on channel covariance matrix projecting onto wideband beam group to enhance system performance. In order to make them be compressed effectively, a phase preprocessing algorithms is adopted before performing compression in FD. Then, the obtained compression coefficients after compressing BCCs are quantized to report to base station. To achieve better tradeoff between performance and overhead, a variable bitwidth which is exploited to quantize phases of compression coefficients is proposed. System-level simulation results show that the proposed calculation method of BCCs could improve system performance, and variable bitwidth quantization could achieve better performance with less feedback overhead compared with conventional fixed bitwidth quantization.
机译：准确的信道状态信息（CSI）采集和更少的反馈开销是多用户大规模多输入多输出的热门话题。在3GPP Release 15 New Radio中，引入了II型码本，该码本由宽带波束组和子带的波束组合系数（BCC）组成，以获得用于性能改进的高分辨率CSI。但是，这需要大量的反馈开销。为了减少反馈开销，研究了基于空间域和频域（FD）压缩的CSI反馈，利用它们之间的相关性。我们首先提出，BCC是基于投影到宽带波束组上的信道协方差矩阵来计算的，以提高系统性能。为了使它们有效地压缩，在FD中执行压缩之前采用了相位预处理算法。然后，对压缩了BCC之后获得的压缩系数进行量化以报告给基站。为了在性能和开销之间取得更好的折衷，提出了一种可变位宽，该位宽用于量化压缩系数的相位。系统级仿真结果表明，所提出的密件抄送计算方法可以提高系统性能，与传统的固定比特宽量化相比，可变比特宽量化可以在较小的反馈开销下实现更好的性能。

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