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Coverage Analysis of Multi-Stream MIMO HetNets With MRC Receivers

机译:具有MRC接收机的多流MIMO HetNet的覆盖范围分析

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Most of the current research on the coverage performance of multi-stream MIMO heterogeneous networks (HetNets) has focused on a single data-stream. This does not always provide accurate results as our analysis show the cross-stream correlation due to interference can greatly affect the coverage performance. This paper analyzes the coverage probability in such systems, and studies the impact of cross-stream correlation. Specifically, we focus on the max-SIR cell association policy and leverage stochastic geometry to study scenarios, whereby a receiver is considered in the coverage, if all of its data-streams are successfully decodeable. Assuming open-loop maximum ratio combining (MRC) at receivers, we consider the cases where partial channel state information is available at the receiver. We then obtain an upper-bound on the coverage and formulate cross-stream SIR correlation. We further show that approximating such systems based on fully-correlated (non-correlated) data-streams results in a slight underestimation (substantial overestimation) of the coverage performance. Our results provide insights on the multiplexing regimes where densification improves the coverage performance and spectral efficiency. We also compare MRC with more complex zero-forcing receiver and provide quantitative insights on the design tradeoffs. Our analysis is validated via extensive simulations.
机译:当前,有关多流MIMO异构网络(HetNets)的覆盖性能的大多数研究都集中在单个数据流上。这并不总是提供准确的结果,因为我们的分析表明,由于干扰而产生的交叉流相关性会极大地影响覆盖性能。本文分析了此类系统中的覆盖概率,并研究了交叉流相关性的影响。具体而言,我们专注于max-SIR小区关联策略,并利用随机几何来研究场景,如果所有数据流都可以成功解码,则可以在覆盖范围内考虑接收器。假设接收器处的开环最大比率合并(MRC),我们考虑接收器可获得部分信道状态信息的情况。然后,我们获得覆盖率的上限,并制定跨流SIR相关性。我们进一步表明,基于完全相关(不相关)的数据流对此类系统进行近似处理会导致覆盖性能略有低估(严重高估)。我们的研究结果提供了有关多路复用机制的见解,其中致密化提高了覆盖性能和频谱效率。我们还将MRC与更复杂的零强迫接收器进行比较,并提供有关设计权衡的定量见解。我们的分析通过广泛的仿真验证。

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