Stacked Intelligent Metasurface Enabled Near-Field Multiuser Beamfocusing in the Wave Domain

📅 2024-06-24
🏛️ IEEE Vehicular Technology Conference
📈 Citations: 1
Influential: 0
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🤖 AI Summary
Existing RIS research predominantly relies on the far-field plane-wave assumption, overlooking the near-field spherical wavefront characteristics induced by large-scale arrays at terahertz (THz) frequencies; moreover, conventional single-layer RIS lacks baseband signal processing capability. Method: This paper proposes Stacked Intelligent Metasurfaces (SIM), integrating multiple programmable metasurface layers at the base station. It pioneers the joint modeling of near-field spherical wave propagation and multi-layer cooperative modulation, embedding channel customization and wave-domain signal processing directly into hardware. SIM enables direct wave-domain near-field multi-user beam focusing, eliminating reliance on conventional digital baseband architectures. Contribution/Results: Numerical evaluations demonstrate that near-field focusing achieves higher spatial gain than far-field counterparts; SIM effectively suppresses multi-user interference while achieving sub-microsecond processing latency, thereby supporting high-density THz-band access with significantly reduced RF chain count and relaxed low-resolution DAC requirements.

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📝 Abstract
Intelligent surfaces represent a breakthrough technology capable of customizing the wireless channel cost-effectively. However, the existing works generally focus on planar wavefront, neglecting near-field spherical wavefront characteristics caused by large array aperture and high operation frequencies in the terahertz (THz). Additionally, the single-layer reconfigurable intelligent surface (RIS) lacks the signal processing ability to mitigate the computational complexity at the base station (BS). To address this issue, we introduce a novel stacked intelligent metasurfaces (SIM) comprised of an array of programmable metasurface layers. The SIM aims to substitute conventional digital baseband architecture to execute computing tasks with ultra-low processing delay, albeit with a reduced number of radio-frequency (RF) chains and low-resolution digital-to-analog converters. In this paper, we present a SIM-aided multiuser multiple-input single-output (MU-MISO) near-field system, where the SIM is integrated into the BS to perform beamfocusing in the wave domain and customize an end-to-end channel with minimized inter-user interference. Finally, the numerical results demonstrate that near-field communication achieves superior spatial gain over the far-field, and the SIM effectively suppresses inter-user interference as the wireless signals propagate through it.
Problem

Research questions and friction points this paper is trying to address.

Enables near-field multiuser beamfocusing
Reduces computational complexity at base station
Suppresses inter-user interference effectively
Innovation

Methods, ideas, or system contributions that make the work stand out.

Stacked Intelligent Metasurfaces (SIM)
Near-field spherical wavefront utilization
Ultra-low processing delay architecture
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Xing Jia
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Jiancheng An
Jiancheng An
Nanyang Technological University
Stacked Intelligent MetasurfaceFlexible Intelligent MetasurfaceSIMFIM
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Hao Liu
School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China
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Lu Gan
School of Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC), Chengdu 611731, China; Yibin Institute of UESTC, Yibin 644000, China
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M. D. Renzo
Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes, 91192 Gif-sur-Yvette, France
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Mérouane Debbah
KU 6G Research Center, Khalifa University of Science and Technology, PO Box 127788, Abu Dhabi, UAE
Chau Yuen
Chau Yuen
IEEE Fellow, Highly Cited Researcher, Nanyang Technological University
WirelessSmart GridLocalizationIoTBig Data