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arXiv · 1906.00053

Spectral Efficiency Analysis in Dense Massive MIMO Networks

Fahime Sadat Mirhosseini·Andrea Pizzo·Luca Sanguinetti·Aliakbar Tadaion
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Abstract

This work considers the uplink of a Massive MIMO network wherein the base stations (BSs) are randomly deployed according to a homogenous Poisson point process of intensity $\lambda$. Each BS is equipped with $M$ antennas and serves $K$ user equipments. A rigorous stochastic geometry framework with a multi-slope path loss model and pilot-based channel estimation is used to analyze the impact of $\lambda$ on channel estimation accuracy and spectral efficiency. Both maximum ratio and zero-forcing combiners are considered. Interesting analytical insights are provided into the interplay of network parameters such as $\lambda$, antenna-UE ratio $M/K$, and pilot reuse factor. The relative strength of pilot contamination and (inter- and intra-cell) interference is analytically and numerically evaluated, as a function of $\lambda$. It turns out that pilot contamination becomes relevant only for impractical values of $M/K\ge 100$.

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BibTeXRIS

Fahime Sadat Mirhosseini, Andrea Pizzo, Luca Sanguinetti, Aliakbar Tadaion. 2019-05-31. Spectral Efficiency Analysis in Dense Massive MIMO Networks. https://arxiv.org/abs/1906.00053

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