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• W2757653856 abstract "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." @default.
• W2757653856 created "2017-10-06" @default.
• W2757653856 creator A5022880485 @default.
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• W2757653856 date "2017-12-01" @default.
• W2757653856 modified "2023-09-22" @default.
• W2757653856 title "Coverage Analysis of Multi-Stream MIMO HetNets With MRC Receivers" @default.
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• W2757653856 doi "https://doi.org/10.1109/twc.2017.2753771" @default.
• W2757653856 hasPublicationYear "2017" @default.
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