Pith Number

pith:ICJEHOIN

pith:2026:ICJEHOINFH3XMHQV4UIYXORGQQ

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Uplink Channel Estimation for Multi-User MISO Systems Assisted by a Fluid Reconfigurable Intelligent Surface

Amarilton L. Magalh\~aes, Andr\'e L. F. de Almeida, George C. Alexandropoulos

Tensor modeling gives a closed-form estimator for joint channel and motion-phase recovery in fluid RIS uplink systems.

arxiv:2605.16609 v1 · 2026-05-15 · eess.SP

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Claims

C1strongest claim

By capitalizing on orthogonal pilot sequences and tensor modeling, we derive a closed-form solution that jointly estimates the individual channels and the motion-induced phase coefficients.

C2weakest assumption

The two-time-scale FRIS configuration protocol accurately separates reflection phase-shift dynamics from element-motion dynamics and that position mismatches manifest only as additive phase coefficients without affecting amplitude or other channel statistics.

C3one line summary

Derives a closed-form solution for jointly estimating individual user channels and motion-induced phase coefficients in FRIS-assisted multi-user uplink systems using orthogonal pilots and tensor modeling.

References

17 extracted · 17 resolved · 0 Pith anchors

[1] A tutorial on fluid antenna system for 6G networks: Encompassing communication theory, optimization methods and hardware designs, 2025

[2] Reconfigurable intelligent surfaces for 6G: Emerging hardware architectures, applications, and open challenges, 2024

[3] On the performance enhancement potential of fluid reconfigurable intelligent surfaces, 2026

[4] From fixed to fluid: Unlocking the new potential with fluid RIS (FRIS) 2025

[5] Performance analysis of wireless commu- nication systems assisted by fluid reconfigurable intelligent surfaces, 2025

Formal links

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Receipt and verification

First computed	2026-05-20T00:02:32.319193Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

409243b90d29f7761e15e5118bba26841a7fcbe8cece4eb5b7551c2082381226

Aliases

arxiv: 2605.16609 · arxiv_version: 2605.16609v1 · doi: 10.48550/arxiv.2605.16609 · pith_short_12: ICJEHOINFH3X · pith_short_16: ICJEHOINFH3XMHQV · pith_short_8: ICJEHOIN

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/ICJEHOINFH3XMHQV4UIYXORGQQ \
  | 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: 409243b90d29f7761e15e5118bba26841a7fcbe8cece4eb5b7551c2082381226

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e5cda942931e6432e6d392c7c215469cf1278b995e9ca1f05f795c09286ccecb",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "eess.SP",
    "submitted_at": "2026-05-15T20:19:25Z",
    "title_canon_sha256": "f90715562130667a3b9ced68ea708fdffdb4998dbfa7243608647a0041edab63"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.16609",
    "kind": "arxiv",
    "version": 1
  }
}