A Novel Near-Field Dictionary Design for Hybrid MIMO with Uniform Planar Arrays
arXiv:2602.17202v2 Announce Type: replace Abstract: Near-field ultra-massive MIMO (U-MIMO) systems provide enhanced spatial resolution but present challenges for channel estimation, particularly when hybrid architectures are employed. Within this framework, dictionary-based channel estimation schemes are needed to achieve accurate reconstruction from a reduced set of measurements. However, existing near-field dictionaries generally provide full three-dimensional coverage, which is unnecessary when user equipments are primarily located on the ground. In this paper, we propose a novel near-field grid design tailored to this common scenario. Specifically, grid points lie on a reference plane located at an arbitrary height with respect to the U-MIMO system, equipped with a uniform planar array
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Abstract:Near-field ultra-massive MIMO (U-MIMO) systems provide enhanced spatial resolution but present challenges for channel estimation, particularly when hybrid architectures are employed. Within this framework, dictionary-based channel estimation schemes are needed to achieve accurate reconstruction from a reduced set of measurements. However, existing near-field dictionaries generally provide full three-dimensional coverage, which is unnecessary when user equipments are primarily located on the ground. In this paper, we propose a novel near-field grid design tailored to this common scenario. Specifically, grid points lie on a reference plane located at an arbitrary height with respect to the U-MIMO system, equipped with a uniform planar array. Furthermore, a channel accuracy metric is used to improve codebook performance, and to remark the limitations of the traditional far-field angular sampling in the near field. Results show that, as long as user equipments are not far from the reference plane, the proposed grid outperforms state-of-the-art designs in both channel estimation accuracy and spectral efficiency.
Comments: Submitted to Transactions on Wireless Communications (TWC)
Subjects:
Signal Processing (eess.SP)
Cite as: arXiv:2602.17202 [eess.SP]
(or arXiv:2602.17202v2 [eess.SP] for this version)
https://doi.org/10.48550/arXiv.2602.17202
arXiv-issued DOI via DataCite
Submission history
From: Luca Antonelli Dr [view email] [v1] Thu, 19 Feb 2026 09:46:56 UTC (739 KB) [v2] Wed, 1 Apr 2026 16:49:57 UTC (1,317 KB)
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