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Measurement-Based Stochastic Cross-Correlation Models of a Multilink Channel in Cooperative Communication Environments

机译:协作通信环境中基于测量的多链路信道随机互相关模型

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In this paper, stochastic models for the cross-correlation of multiple channels are established based on measurement data collected using a wideband multiple-input multiple-output relay Band Exploration and Channel Sounder system at 3.7 GHz. We propose models for the cross-correlation characteristics of large-scale parameters (LSPs) between two links, that is, the base station and mobile station (MS) link and the relay station and MS link. The LSPs include shadow fading, Rician K-factor, delay spread, angle spread of arrival, and angle spread of departure. Furthermore, models are established for the cross-correlation of the small-scale fading in the impulse responses of two links. The statistics of these model parameters are investigated as functions of geometrical features of the multilink. They are extracted from a large amount of cross-correlation observations, which are obtained in three measurement sites along more than one hundred measurement routes. These models can be used together with the standard single-link channel models for the generation of correlated components, for example, path clusters, in two separate channels.
机译:在本文中,基于使用3.7 GHz宽带多输入多输出继电器Band Exploration和Channel Sounder系统收集的测量数据,建立了多通道互相关的随机模型。我们提出了两个参数,即基站和移动站(MS)链路与中继站和MS链路之间的大规模参数(LSP)的互相关特性模型。 LSP包括阴影衰落,Rician K因子,延迟扩展,到达角扩展和离开角扩展。此外,建立了两个链路冲激响应中小衰落互相关的模型。这些模型参数的统计数据将根据多链接的几何特征进行调查。它们是从大量互相关观测中提取的,这些互相关观测是在沿着一百多个测量路径的三个测量位置中获得的。这些模型可以与标准单链路信道模型一起使用,以在两个单独的信道中生成相关组件,例如路径群集。

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