In this contribution, a recently conducted measurement campaign for indoor millimeter-wave (mm-wave) propagation channels is introduced. A vector network analyzer (VNA)-based channel sounder was exploited to record the channel characteristics at the frequency band from 28–30 GHz. A virtual uniform circular array (UCA) with a radius of 0.25 m was formed using a rotator with 360 steps. Moreover, by taking advantage of fiber-optic technique applied in the channel sounder, measurements at 50 positions were performed from an indoor hall to an indoor corridor along a long pre-defined route. A low-complexity high-resolution propagation estimation (HRPE) algorithm is exploited to estimate the propagation parameters of multipath components (MPCs). Based on the HRPE estimation results, a novel clustering identification and tracking algorithm is proposed to trace clusters. Composite channel characteristics, cluster-level characteristics and dynamic (or birth-death) behaviours of the clusters are investigated, which constitute a dynamic model for the indoor mm-wave channel.

中文翻译：

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基于测量的室内毫米波传播信道动态信道建模

在这篇文章中，介绍了最近针对室内毫米波 (mm-wave) 传播信道进行的测量活动。利用基于矢量网络分析仪 (VNA) 的信道探测仪来记录 28-30 GHz 频段的信道特性。使用具有 360 步长的旋转器形成半径为 0.25 m 的虚拟均匀圆阵列 (UCA)。此外，利用信道测深仪中应用的光纤技术，从室内大厅到室内走廊沿预先定义的长路径进行了50个位置的测量。利用低复杂度高分辨率传播估计 (HRPE) 算法来估计多径分量 (MPC) 的传播参数。根据 HRPE 估计结果，提出了一种新的聚类识别和跟踪算法来跟踪聚类。研究了集群的复合信道特性、集群级特征和动态（或生死）行为，构成了室内毫米波信道的动态模型。