Pith Number

pith:6S6QQ27F

pith:2026:6S6QQ27FSMWZK3C7C3AVFZXUDI

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A Framework of Near-Field Communication with Different Array Geometries: Analysis, Optimization, and General Channel Estimation Algorithms Based on Deep Learning

Fangzhou Wu, Giuseppe Caire, Kangda Zhi, Songyan Xue, Tengjiao Wang, Tianyu Yang, Tuo Wu, Yi Song

Curved array geometries extend the near-field region in XL-MIMO while a general deep-learning estimator recovers the resulting channels for rate optimization.

arxiv:2605.17690 v1 · 2026-05-17 · eess.SP

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Claims

C1strongest claim

Numerical results demonstrate that the proposed AE-AMP algorithm can effectively estimate the spatial non-stationary near-field channels with robustness and generalities compared to several conventional and deep-learning-based benchmarks. The improvement of data rate by using modular curved arrays with the estimated channel is also validated.

C2weakest assumption

The fair comparison that fixes total antenna count and horizontal arc length while varying curvature is assumed to isolate the geometric effect without introducing confounding changes in aperture or element spacing; this modeling choice appears in the channel formulation and numerical setup sections.

C3one line summary

A near-field spatial non-stationary channel model for planar and modular curved XL-MIMO arrays is derived, an AE-aided AMP estimator with replica bound is proposed, and joint array-geometry and hybrid-precoding optimization is performed to maximize downlink sum rate.

References

36 extracted · 36 resolved · 0 Pith anchors

[1] A general channel estimation method for spatial non- stationary mixed near- and far-field XL-MIMO channels, 2026

[2] A tutorial on near-field XL-MIMO communications toward 6G, 2024

[3] NEFT: A Unified Transformer Framework for Efficient Near-Field CSI Feedback in XL-MIMO Systems 2025

[4] Near-field channel estimation for extremely large-scale reconfigurable intelligent surface (XL-RIS)-aided wideband mmwave systems, 2024

[5] Performance analysis and low-complexity design for XL- MIMO with near-field spatial non-stationarities, 2024

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Receipt and verification

First computed	2026-05-20T00:04:52.992735Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f4bd086be5932d956c5f16c152e6f41a1f160edc84a6aeb82afe98dc42c29d9c

Aliases

arxiv: 2605.17690 · arxiv_version: 2605.17690v1 · doi: 10.48550/arxiv.2605.17690 · pith_short_12: 6S6QQ27FSMWZ · pith_short_16: 6S6QQ27FSMWZK3C7 · pith_short_8: 6S6QQ27F

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/6S6QQ27FSMWZK3C7C3AVFZXUDI \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f4bd086be5932d956c5f16c152e6f41a1f160edc84a6aeb82afe98dc42c29d9c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "cd30885cf1a6f343d26fd504f342958778ffb0946a0c6b64c6006cf53611a3c6",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "eess.SP",
    "submitted_at": "2026-05-17T23:07:49Z",
    "title_canon_sha256": "86576d85ebc62c2ba56ecc1a8dd7f0fb4b7b2ed8c58a43aee00a11539cf9311a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.17690",
    "kind": "arxiv",
    "version": 1
  }
}