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Experimental Investigation of Frequency Domain Channel Extrapolation in Massive MIMO Systems for Zero-Feedback FDD
IEEE Transactions on Wireless Communications ( IF 10.4 ) Pub Date : 2021-01-01 , DOI: 10.1109/twc.2020.3028161
Thomas Choi , Francois Rottenberg , Jorge Gomez-Ponce , Akshay Ramesh , Peng Luo , Charlie Jianzhong Zhang , Andreas F. Molisch

Estimating downlink (DL) channel state information (CSI) in frequency division duplex (FDD) massive multi-input multi-output (MIMO) systems generally requires downlink pilots and feedback overheads. Accordingly, this paper investigates the feasibility of zero-feedback FDD massive MIMO systems based on channel extrapolation. We use the high-resolution parameter estimation (HRPE), specifically the space-alternating generalized expectation-maximization (SAGE) algorithm, to extrapolate the DL CSI based on the extracted parameters of multipath components in the uplink channel. We apply the HRPE to two different channel models: the vector spatial signature (VSS) model and the direction of arrival (DOA) model. We verify these methods through real-world channel data acquired from channel measurement campaigns with two different types of channel sounders: a) a switched array-based, real-time, time-domain, outdoors setup at 3.5 GHz, and b) a virtual array-based, high-accuracy, frequency-domain, indoors setup at 2.4 and 5-7 GHz. The performance metrics of the extrapolated channels that we evaluate include the mean squared error, beamforming efficiency, and spectral efficiency in multiuser MIMO scenarios. The results show that the HRPE-based channel extrapolation performs best under the simple VSS model, which does not require array calibration, and if the BS is in an open outdoor environment having line-of-sight (LOS) paths to well-separated users.

中文翻译:

大规模MIMO系统中频域信道外推的零反馈FDD实验研究

在频分双工 (FDD) 大规模多输入多输出 (MIMO) 系统中估计下行链路 (DL) 信道状态信息 (CSI) 通常需要下行链路导频和反馈开销。因此,本文研究了基于信道外推的零反馈 FDD 大规模 MIMO 系统的可行性。我们使用高分辨率参数估计 (HRPE),特别是空间交替广义期望最大化 (SAGE) 算法,根据上行链路信道中提取的多径分量参数推断 DL CSI。我们将 HRPE 应用于两种不同的信道模型:矢量空间特征 (VSS) 模型和到达方向 (DOA) 模型。我们通过使用两种不同类型的频道发声器从频道测量活动中获取的真实频道数据来验证这些方法:a) 基于交换阵列的实时时域室外 3.5 GHz 设置,以及 b) 2.4 和 5-7 GHz 的基于虚拟阵列的高精度频域室内设置。我们评估的外推信道的性能指标包括多用户 MIMO 场景中的均方误差、波束成形效率和频谱效率。结果表明,基于 HRPE 的信道外推在不需要阵列校准的简单 VSS 模型下表现最佳,并且如果 BS 处于开放的室外环境中,具有到分离良好的用户的视线 (LOS) 路径. 我们评估的外推信道的性能指标包括多用户 MIMO 场景中的均方误差、波束成形效率和频谱效率。结果表明,基于 HRPE 的信道外推在不需要阵列校准的简单 VSS 模型下表现最佳,并且如果 BS 处于开放的室外环境中,具有到分离良好的用户的视线 (LOS) 路径. 我们评估的外推信道的性能指标包括多用户 MIMO 场景中的均方误差、波束成形效率和频谱效率。结果表明,基于 HRPE 的信道外推在不需要阵列校准的简单 VSS 模型下表现最佳,并且如果 BS 处于开放的室外环境中,具有到分离良好的用户的视线 (LOS) 路径.
更新日期:2021-01-01
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