Distributed Architecture for XL-Metasurface Beamforming

Kofi Anane Boateng; Di Zhang; Kyungchun Lee

doi:10.1109/ICTC66702.2025.11388079

Distributed Architecture for XL-Metasurface Beamforming

Kofi Anane Boateng
, Di Zhang
, Kyungchun Lee

Dept. of Electrical and Information Engineering

Seoul National University of Science and Technology (SNUST)
Sun Yat-Sen University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a distributed beamforming framework for extremely large (XL) dynamic metasurface antenna (DMA) systems, offering an energy-efficient and scalable solution for 6G deployments. The transmit array is partitioned into clusters, each managed by a distributed node (DN) that estimates local channel state information (CSI) and designs DMA weights using global CSI provided by a central node (CN). The CN also performs digital precoding based on the global CSI. A downlink capacity maximization problem is formulated, and an efficient joint optimization algorithm for digital precoding and DMA weights is developed. Simulations show that the proposed approach achieves near-optimal spectral efficiency with substantially reduced interconnection overhead, offering a practical solution for scalable 6G deployments.

Original language	English
Title of host publication	2025 16th International Conference on Information and Communication Technology Convergence, ICTC 2025
Publisher	IEEE Computer Society
Pages	1646-1649
Number of pages	4
ISBN (Electronic)	9798331556785
DOIs	https://doi.org/10.1109/ICTC66702.2025.11388079
State	Published - 2025
Event	16th International Conference on Information and Communication Technology Convergence, ICTC 2025 - , Korea, Republic of Duration: 14 Oct 2025 → 17 Oct 2025

Publication series

Name	International Conference on ICT Convergence
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	16th International Conference on Information and Communication Technology Convergence, ICTC 2025
Country/Territory	Korea, Republic of
Period	14/10/25 → 17/10/25

Keywords

Distributed beamforming
downlink communication
extremely large antenna array (ELAA)
massive multiple-input multiple-output (mMIMO)

Access to Document

10.1109/ICTC66702.2025.11388079

Cite this

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title = "Distributed Architecture for XL-Metasurface Beamforming",

abstract = "This paper presents a distributed beamforming framework for extremely large (XL) dynamic metasurface antenna (DMA) systems, offering an energy-efficient and scalable solution for 6G deployments. The transmit array is partitioned into clusters, each managed by a distributed node (DN) that estimates local channel state information (CSI) and designs DMA weights using global CSI provided by a central node (CN). The CN also performs digital precoding based on the global CSI. A downlink capacity maximization problem is formulated, and an efficient joint optimization algorithm for digital precoding and DMA weights is developed. Simulations show that the proposed approach achieves near-optimal spectral efficiency with substantially reduced interconnection overhead, offering a practical solution for scalable 6G deployments.",

keywords = "Distributed beamforming, downlink communication, extremely large antenna array (ELAA), massive multiple-input multiple-output (mMIMO)",

author = "Boateng, \{Kofi Anane\} and Di Zhang and Kyungchun Lee",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 16th International Conference on Information and Communication Technology Convergence, ICTC 2025 ; Conference date: 14-10-2025 Through 17-10-2025",

year = "2025",

doi = "10.1109/ICTC66702.2025.11388079",

language = "English",

series = "International Conference on ICT Convergence",

publisher = "IEEE Computer Society",

pages = "1646--1649",

booktitle = "2025 16th International Conference on Information and Communication Technology Convergence, ICTC 2025",

}

Boateng, KA, Zhang, D & Lee, K 2025, Distributed Architecture for XL-Metasurface Beamforming. in 2025 16th International Conference on Information and Communication Technology Convergence, ICTC 2025. International Conference on ICT Convergence, IEEE Computer Society, pp. 1646-1649, 16th International Conference on Information and Communication Technology Convergence, ICTC 2025, Korea, Republic of, 14/10/25. https://doi.org/10.1109/ICTC66702.2025.11388079

Distributed Architecture for XL-Metasurface Beamforming. / Boateng, Kofi Anane; Zhang, Di; Lee, Kyungchun.
2025 16th International Conference on Information and Communication Technology Convergence, ICTC 2025. IEEE Computer Society, 2025. p. 1646-1649 (International Conference on ICT Convergence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Distributed Architecture for XL-Metasurface Beamforming

AU - Boateng, Kofi Anane

AU - Zhang, Di

AU - Lee, Kyungchun

PY - 2025

Y1 - 2025

N2 - This paper presents a distributed beamforming framework for extremely large (XL) dynamic metasurface antenna (DMA) systems, offering an energy-efficient and scalable solution for 6G deployments. The transmit array is partitioned into clusters, each managed by a distributed node (DN) that estimates local channel state information (CSI) and designs DMA weights using global CSI provided by a central node (CN). The CN also performs digital precoding based on the global CSI. A downlink capacity maximization problem is formulated, and an efficient joint optimization algorithm for digital precoding and DMA weights is developed. Simulations show that the proposed approach achieves near-optimal spectral efficiency with substantially reduced interconnection overhead, offering a practical solution for scalable 6G deployments.

AB - This paper presents a distributed beamforming framework for extremely large (XL) dynamic metasurface antenna (DMA) systems, offering an energy-efficient and scalable solution for 6G deployments. The transmit array is partitioned into clusters, each managed by a distributed node (DN) that estimates local channel state information (CSI) and designs DMA weights using global CSI provided by a central node (CN). The CN also performs digital precoding based on the global CSI. A downlink capacity maximization problem is formulated, and an efficient joint optimization algorithm for digital precoding and DMA weights is developed. Simulations show that the proposed approach achieves near-optimal spectral efficiency with substantially reduced interconnection overhead, offering a practical solution for scalable 6G deployments.

KW - Distributed beamforming

KW - downlink communication

KW - extremely large antenna array (ELAA)

KW - massive multiple-input multiple-output (mMIMO)

UR - https://www.scopus.com/pages/publications/105035058691

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DO - 10.1109/ICTC66702.2025.11388079

M3 - Conference contribution

AN - SCOPUS:105035058691

T3 - International Conference on ICT Convergence

SP - 1646

EP - 1649

BT - 2025 16th International Conference on Information and Communication Technology Convergence, ICTC 2025

PB - IEEE Computer Society

T2 - 16th International Conference on Information and Communication Technology Convergence, ICTC 2025

Y2 - 14 October 2025 through 17 October 2025

ER -

Distributed Architecture for XL-Metasurface Beamforming

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Keywords

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