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Uplink Performance of Cell-Free Extremely Large-Scale MIMO Systems

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arxiv 2301.12086 v2 pith:5FJPJFBJ submitted 2023-01-28 cs.IT eess.SPmath.IT

classification cs.ITeess.SPmath.IT
keywords performancexl-mimocombiningantennascell-freederiveexpressionsextremely
verification ladder T0 review T1 audit T2 compute T3 formal
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In this paper, we investigate the uplink performance of cell-free (CF) extremely large-scale multiple-input-multipleoutput (XL-MIMO) systems, which is a promising technique for future wireless communications. More specifically, we consider the practical scenario with multiple base stations (BSs) and multiple user equipments (UEs). To this end, we derive exact achievable spectral efficiency (SE) expressions for any combining scheme. It is worth noting that we derive the closed-form SE expressions for the CF XL-MIMO with maximum ratio (MR) combining. Numerical results show that the SE performance of the CF XL-MIMO can be hugely improved compared with the small-cell XL-MIMO. It is interesting that a smaller antenna spacing leads to a higher correlation level among patch antennas. Finally, we prove that increasing the number of UE antennas may decrease the SE performance with MR combining.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Deep Learning Based Near-Field User Localization with Beam Squint in Wideband XL-MIMO Systems

    eess.SP 2024-12 conditional novelty 5.0 of 10

    Cramér-Rao bounds and a ConvNeXt-based scheme are proposed for near-field user localization in wideband XL-MIMO, reporting simulated distance RMSE near 5 cm.

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