Measurement-Based Massive MIMO Channel Characterization in Lobby Environment at 11 GHz

Jianzhi Li, B. Ai, R. He, Mi Yang, Z. Zhong, Y. Hao
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引用次数: 1

Abstract

In this paper, a massive MIMO channel measurement campaign is conducted at 11 GHz in an indoor lobby environment. The measurements use two types of 256-element virtual uniform rectangular arrays (URAs), i.e., the 4×64 virtual URA and the 64×4 virtual URA. The channel characterization is presented by investigating the typical channel parameters, including average power delay profile (APDP), K factor, root mean square (RMS) delay spread, and coherence bandwidth. Moreover, the channel characteristics in angular domain are investigated by applying the space-alternating generalized expectation-maximization algorithm (SAGE). The extracted MPCs are preliminarily clustered by visual inspection, and related to the interacting objects (IO) in physical environment. To evaluate the directional dispersion at the base station (BS) side, direction spread of departure is estimated based on the SAGE estimates. The results in this paper can help to reveal the propagation mechanisms in massive MIMO channels, and provide a foundation for the design and application of the practical massive MIMO system.
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11 GHz大厅环境下基于测量的大规模MIMO信道特性研究
本文在室内大厅环境下进行了11ghz的大规模MIMO信道测量活动。测量使用两种类型的256个元素的虚拟均匀矩形阵列(URA),即4×64虚拟URA和64×4虚拟URA。通过研究典型的信道参数,包括平均功率延迟分布(APDP)、K因子、均方根延迟扩展(RMS)和相干带宽,给出了信道特性。此外,应用空间交替广义期望最大化算法(SAGE)研究了信道在角域中的特性。通过视觉检测对提取的MPCs进行初步聚类,并将其与物理环境中的交互对象(IO)相关联。为了评估基站侧的方向频散,在SAGE估计的基础上估计了出发方向频散。本文的研究结果有助于揭示大规模MIMO信道中的传播机制,为实际大规模MIMO系统的设计和应用提供基础。
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