5G大规模MIMO中信道老化的解决方案

2023 6th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2023-03-01 DOI:10.1109/ICICT58900.2023.00034

Talha Younas, Muluneh Mekonnen, Ghulam Farid, H. Munir, Osama Younas

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引用次数: 0

摘要

在本文中，我们观察了一个单细胞大规模(多输入-多输出)MIMO系统。信道老化是由于ut和(基站)BS天线之间的相对运动造成的。为了开始分析，通过应用最小均方误差(MMSE)获得通道状态信息(CSI)。下一步，应用(自回归移动平均)ARMA预测器来解决信道老化和劣化带来的问题。然后，为了检查效率，我们计算了ARMA信道预测器的可实现率，并进行了严格的性能分析。我们观察到，在大规模MIMO系统中，ARMA预测器可以作为对抗老化信道不利影响的一个很好的选择。通过对不同天线数量和不同多普勒频移值的ARMA预测器进行MATLAB仿真，表明ARMA预测器可以在老化的CSI中获得更好的带宽效率(be)

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Solution to Channel Aging in 5G Massive MIMO

In this paper we observe a single-cell massive (multiple-input-multiple-output) MIMO system. Channel aging occurs due to the relative movements between UTs and (base station) BS antenna. To start the analysis, channel state information (CSI) has been acquired by applying minimum-mean-square-error (MMSE). In the next step, (autoregressive moving average) ARMA predictor has been applied to combat the problem caused by aged and deteriorated channel. Then, to check efficiency, we calculate achievable rates for ARMA channel predictor and perform rigorous performance analysis. We observe that ARMA predictor can be a good option to combat the adverse effects of aged channel in large scale MIMO systems. We provide several MATLAB simulations for ARMA predictor by varying number of antennas and several values of Doppler’s shift, which gives us insight that ARMA predictor can be suitable for getting better bandwidth efficiency (BE) in case of aged CSI

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2023 6th International Conference on Information and Computer Technologies (ICICT)

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