Near-Field Beampointing with Low Exposure Regions: a Dominant Subspace Projection Approach

Fuente: arXiv
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Hauptverfasser: Defraigne, Laurence, Monnoyer, Gilles, Louveaux, Jérôme, Vandendorpe, Luc
Format: Preprint
Veröffentlicht: 2026
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author Defraigne, Laurence
Monnoyer, Gilles
Louveaux, Jérôme
Vandendorpe, Luc
author_facet Defraigne, Laurence
Monnoyer, Gilles
Louveaux, Jérôme
Vandendorpe, Luc
contents The spherical nature of the wavefronts exhibited in the near-field of antenna arrays enables advanced beamforming capabilities, such as beampointing and beamnulling. In this paper, we exploit these properties to design a near-field beam pattern under a low exposure region constraint. We address the continuous region constraint through spatial discretization, which results in a large number of constraints that lead to prohibitive computational complexity. We propose a novel low-complexity algorithm that enables a computationally tractable beam pattern design. It uses a low-dimensional subspace representation of the low exposure region based on a singular value decomposition. Our approach achieves low complexity while providing a power received at a target user close to the optimal achievable power, yet with uniform power mitigation over the low exposure region.
format Preprint
id arxiv_https___arxiv_org_abs_2602_13023
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Near-Field Beampointing with Low Exposure Regions: a Dominant Subspace Projection Approach
Defraigne, Laurence
Monnoyer, Gilles
Louveaux, Jérôme
Vandendorpe, Luc
Signal Processing
The spherical nature of the wavefronts exhibited in the near-field of antenna arrays enables advanced beamforming capabilities, such as beampointing and beamnulling. In this paper, we exploit these properties to design a near-field beam pattern under a low exposure region constraint. We address the continuous region constraint through spatial discretization, which results in a large number of constraints that lead to prohibitive computational complexity. We propose a novel low-complexity algorithm that enables a computationally tractable beam pattern design. It uses a low-dimensional subspace representation of the low exposure region based on a singular value decomposition. Our approach achieves low complexity while providing a power received at a target user close to the optimal achievable power, yet with uniform power mitigation over the low exposure region.
title Near-Field Beampointing with Low Exposure Regions: a Dominant Subspace Projection Approach
topic Signal Processing
url https://arxiv.org/abs/2602.13023