Coordinated multipoint (CoMP) and massive multiple-input multiple-output (mMIMO) are two of promising technologies in future intelligent high-speed railway (HSR) communication systems, whose performance is fundamentally determined by the characteristics of cooperative mMIMO channels. This article proposes a dynamic three-dimensional (3-D) wideband geometry-based stochastic model (GBSM) for HSR cooperative mMIMO channels. The proposed GBSM employs a sphere model and two elliptic-cylinder models to describe common and uncommon clusters for different links, and integrates the dynamic cluster evolution in both time and array domains. Statistical properties of the cooperative mMIMO model are investigated, such as multi-link spatial cross-correlation function and sum rate capacity. A corresponding dynamic 3-D wideband simulation model for the HSR cooperative mMIMO channel is also proposed. Finally, numerical results of the statistical properties are analyzed, and the proposed model is validated by realistic HSR channel measurement data, in terms of dual-link spatial cross-correlation and channel capacity. This model is more practical and will be helpful for facilitating the design and performance evaluation of future intelligent HSR communication systems.

中文翻译：

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用于智能高速铁路通信系统中的协作大规模MIMO信道的动态3-D宽带GBSM

协作多点（CoMP）和大规模多输入多输出（mMIMO）是未来智能高速铁路（HSR）通信系统中的两项有前途的技术，其性能从根本上取决于协作mMIMO信道的特性。本文提出了一种针对HSR协作mMIMO信道的基于动态三维（3-D）宽带几何的随机模型（GBSM）。提出的GBSM采用球面模型和两个椭圆圆柱模型来描述不同链接的常见和不常见簇，并集成了时域和数组域中的动态簇演化。研究了协作mMIMO模型的统计特性，例如多链路空间互相关函数和求和速率容量。还提出了一种针对HSR协作mMIMO信道的动态3-D宽带仿真模型。最后，对统计特性的数值结果进行了分析，并在双链路空间互相关和信道容量方面，通过实际的HSR信道测量数据对所提出的模型进行了验证。该模型更加实用，将有助于促进未来智能高铁通信系统的设计和性能评估。