Cited by 18Advanced Wireless Communication TechnologiesAdvanced Antenna and Metasurface TechnologiesMillimeter-Wave Propagation and Modeling

Near-Field Beamforming for Stacked Intelligent Metasurfaces-Assisted MIMO Networks

Open access
Papazafeiropoulos, Anastasios, Kourtessis, Pandelis, Chatzinotas, Symeon, Kaklamani, Dimitra I., Venieris, Iakovos S.·2024·IEEE Wireless Communications Letters

Abstract

Stacked intelligent metasurfaces (SIMs) have recently gained significant interest since they enable precoding in the wave domain that comes with increased processing capability and reduced energy consumption. The study of SIMs and high frequency propagation make the study of the performance in the near field of crucial importance. Hence, in this letter, we focus on SIM-assisted multiuser multiple-input multiple-output (MIMO) systems operating in the near field region. To this end, we formulate the weighted sum rate maximization problem in terms of the transmit power and the phase shifts of the SIM. By applying a block coordinate descent (BCD)-relied algorithm, numerical results show the enhanced performance of the SIM in the near field with respect to the far field.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/lwc.2024.3438840

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Nadeem et al. [99]'s simulation results demonstrated that a six-layer SIM with four RF chains achieved the same estimation accuracy as a fully digital channel estimator with 64 RF chains.

    “Simulation results demonstrated that a six-layer SIM with four RF chains achieved the same estimation accuracy as a fully digital channel estimator with 64 RF chains.”

    From Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications (2026) · cites this paper as [99]

    The Numerical Results section specifies a four-layer SIM (L = 4), not the claimed six-layer configuration. The Conclusion says the simulations assess weighted sum rate and compare near-field with far-field beamforming, not channel-estimation accuracy against a 64-RF-chain estimator. Page numbers are unavailable in our copy. (LLM, conf=0.85)

    Checked by a reasoning model — may be wrong.

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 16

  1. M. Di Renzo et al., "Smart radio environments empowered by reconfig- urable intelligent surfaces: How it works, state of research, and the road ahead," IEEE J. Sel. Areas Commun., vol. 38, no. 11, pp. 2450-2525, 2020.
  2. C. Huang et al., "Reconfigurable intelligent surfaces for energy effi- ciency in wireless communication," IEEE Trans. Wireless Commun., vol. 18, no. 8, pp. 4157-4170, 2019. Fig. 3: Weighted sum rate of the SIM-aided MIMO architec- ture with respect to the transmit power P .
  3. A. Papazafeiropoulos et al., "Achievable rate of a STAR-RIS assisted massive MIMO system under spatially-correlated channels," IEEE Trans. Wireless Commun., vol. 23, no. 2, pp. 1550-1564, 2024.
  4. H. Guo et al., "Weighted sum-rate maximization for reconfigurable intel- ligent surface aided wireless networks," IEEE Trans. Wireless Commun., vol. 19, no. 5, pp. 3064-3076.
  5. J. An et al., "Stacked intelligent metasurfaces for multiuser downlink beamforming in the wave domain," arXiv preprint arXiv:2309.02687, 2023. · arXiv
  6. --, "Stacked intelligent metasurfaces for efficient holographic MIMO communications in 6G," IEEE J. Sel. Areas Commun., 2023.
  7. A. Papazafeiropoulos et al., "Achievable rate optimization for large stacked intelligent metasurfaces based on statistical CSI," accepred with Minor Changes in IEEE Wireless Commun. Let., pp. 1-1, 2024.
  8. --, "Achievable rate optimization for stacked intelligent metasurface- assisted holographic MIMO communications," IEEE Trans. Wireless Commun., pp. 1-1, 2024.
  9. A. Papazafeiropoulos, P. Kourtessis, and S. Chatzinotas, "Perfor- mance of double-stacked intelligent metasurface-assisted multiuser mas- sive MIMO communications in the wave domain," arXiv preprint arXiv:2402.16405, 2024. · arXiv
  10. E. Björnson and L. Sanguinetti, "Power scaling laws and near-field behaviors of massive MIMO and intelligent reflecting surfaces," IEEE O. J. Commun. Soc., vol. 1, pp. 1306-1324, 2020.
  11. X. Mu et al., "Reconfigurable intelligent surface-aided near-field commu- nications for 6G: Opportunities and challenges," IEEE Veh. Tech. Mag., vol. 19, no. 1, pp. 65-74, 2024.
  12. Q. Wu and R. Zhang, "Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming," IEEE Trans. Wireless Commun., vol. 18, no. 11, pp. 5394-5409, 2019.
  13. H. Zhang et al., "Beam focusing for near-field multiuser MIMO com- munications," IEEE Trans. Wireless Commun., vol. 21, no. 9, pp. 7476- 7490, 2022.
  14. D. A. Miller, "Communicating with waves between volumes: Evaluating orthogonal spatial channels and limits on coupling strengths," Applied optics, vol. 39, no. 11, pp. 1681-1699, 2000.
  15. Q. Shi et al., "An iteratively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel," IEEE Trans. Signal Process., vol. 59, no. 9, pp. 4331-4340, 2011.
  16. C. Pan et al., "Multicell MIMO communications relying on intelligent reflecting surfaces," IEEE Trans. Wireless Commun., vol. 19, no. 8, pp. 5218-5233, 2020.

Cited by

Sorted by citations

Authors
Papazafeiropoulos, A., Kourtessis, P., Chatzinotas, S., Kaklamani, D. I., & Venieris, I. S.
Affiliations
  • University of Hertfordshire (GB)
  • University of Luxembourg (LU)
  • Electrical and Computer Engineering, Microwave and Fiber Optics Laboratory, Athens, Greece
  • National Technical University of Athens (GR)
Venue
IEEE Wireless Communications Letters
Published
2024-11
Volume
13
Issue
11
Pages
3035-3039
ISSN
  • 2162-2337 (ISSN-L)
  • 2162-2345
OpenAlex
W4401357223
Cited by
18
References
1
Citations by year
2026: 5 · 2025: 13
FWCI
1.87
Type
journal article
Language
en
Open access
Locations
  • IEEE Wireless Communications Letters (publishedVersion)
  • arXiv (Cornell University) (submittedVersion, cc-by)
  • Open Repository and Bibliography (University of Luxembourg) (submittedVersion, other-oa)
  • arXiv (Cornell University) (cc-by)
Funders
  • University of Hertfordshire’s 5-year Vice Chancellor’s Research Fellowship
  • National Research Fund, Luxembourg, under the project RISOTTI
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
  • Physical Sciences › Engineering › Aerospace Engineering › Advanced Antenna and Metasurface Technologies
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Millimeter-Wave Propagation and Modeling
Keywords
stacked intelligent metasurfaces, near field communication, beamforming, MIMO, multi-user MIMO, weighted sum rate maximization, phase shift optimization, transmit power allocation, block coordinate descent, precoding

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review