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Flexible Antenna Arrays for Wireless Communications: Modeling and Performance Evaluation

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arxiv 2407.04944 v1 pith:XKMLF3W5 submitted 2024-07-06 eess.SP cs.ITmath.IT

classification eess.SPcs.ITmath.IT
keywords flexibleantennaarraypatternsdirectionalprecodingsum-ratearrays
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abstract

Flexible antenna arrays (FAAs), distinguished by their rotatable, bendable, and foldable properties, are extensively employed in flexible radio systems to achieve customized radiation patterns. This paper aims to illustrate that FAAs, capable of dynamically adjusting surface shapes, can enhance communication performances with both omni-directional and directional antenna patterns, in terms of multi-path channel power and channel angle Cram\'{e}r-Rao bounds. To this end, we develop a mathematical model that elucidates the impacts of the variations in antenna positions and orientations as the array transitions from a flat to a rotated, bent, and folded state, all contingent on the flexible degree-of-freedom. Moreover, since the array shape adjustment operates across the entire beamspace, especially with directional patterns, we discuss the sum-rate in the multi-sector base station that covers the $360^\circ$ communication area. Particularly, to thoroughly explore the multi-sector sum-rate, we propose separate flexible precoding (SFP), joint flexible precoding (JFP), and semi-joint flexible precoding (SJFP), respectively. In our numerical analysis comparing the optimized FAA to the fixed uniform planar array, we find that the bendable FAA achieves a remarkable $156\%$ sum-rate improvement compared to the fixed planar array in the case of JFP with the directional pattern. Furthermore, the rotatable FAA exhibits notably superior performance in SFP and SJFP cases with omni-directional patterns, with respective $35\%$ and $281\%$.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. 6DMA-Aided Hybrid Beamforming with Joint Antenna Position and Orientation Optimization

    eess.SP 2024-12 conditional novelty 6.0 of 10

    A polarization-aware channel model and fractional programming framework for sub-connected 6DMA hybrid beamforming achieves higher simulated sum rates than fixed, position-only, and orientation-only baselines.

  2. Flexible Cylindrical Arrays with Movable Antennas for MISO System: Beamforming and Position Optimization

    eess.SP 2025-01 conditional novelty 5.0 of 10

    Movable antennas on a cylindrical array, optimized with fractional programming and a constrained Adam algorithm, are simulated to improve multi-user sum rate by up to 31% over fixed antennas.

  3. Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications

    cs.IT 2024-11 unverdicted novelty 4.0 of 10

    A survey of RIS, stacked intelligent metasurfaces, and flexible intelligent metasurfaces for wireless communications, with illustrative simulations of wave-domain preprocessing and shape-morphing gains.

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