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arxiveess.SP2026-07-22

Near-Field Sampling for Line Sources

Jiawang Li, Mats Gustafsson

Near-field sampling seeks to represent electromagnetic fields between transmitting and receiving regions using a minimal number of measurement points while preserving the dominant spatial modes. This paper develops a geometry-aware sampling framework based on spatial degrees of freedom (DoF). A view-length formulation is used to derive closed-form expressions for the propagating-mode DoF density for simple line-source geometries, providing both the total DoF and its local distribution. One-DoF sampling points are obtained from equal increments of the cumulative DoF density, yielding an adaptive nonuniform sampling strategy up to the knee of the singular-value spectrum. To improve the representation of the remaining modes beyond the knee, a reactive-mode density is introduced to guide the placement of additional edge samples. An operator-based sampling error functional is formulated and shown to be lower-bounded by the neglected singular values of the continuous channel operator. Numerical results demonstrate that the proposed sampling strategy closely approaches the optimal performance obtained from singular-value decomposition and significantly outperforms sampling based solely on the propagating-mode DoF density.

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arxiveess.SP2026-07-31

Near-Field Communications with Grating Lobes for Quasi-Distributed Arrays: From ULA to MRA

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Extremely large-scale antenna array (ELAA) has emerged as a common feature of many key candidate technologies for 6G, where the near-field characteristics become dominant. The quasi-distributed array can further extend the near-field range and utilize the near-field benefits to i…

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arxiveess.SP2026-07-22

Swarm and Evolutionary Computation for Near-Field Localization

Parisa Ramezani, Seyed Jalaleddin Mousavirad, Mattias O'Nils, Emil Björnson

Near-field localization has attracted significant attention in recent years due to the move toward higher frequencies and extremely large aperture arrays, which expand the near-field region and bring many sources into it. This implies that antenna arrays can be used to localize n…

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arxiveess.SPcs.IT2026-07-21

Non-Square UPA-Enabled XL-MIMO Systems: Anisotropic Near-Field Characterization, Fundamental Limits, and Channel Estimation

Yilong Liu, Xi Yang, Jing Xu, Jun Zhang, Shi jin

Extremely large-scale multiple-input multiple-output (XL-MIMO) is crucial for next-generation communication systems. In practice, the deployment of non-square uniform planar arrays (UPAs) fundamentally alters wavefront characteristics and induces anisotropic beamfocusing capabili…

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arxiveess.SPcs.NI2026-07-08

Bessel Beam Optimization for Near-Field THz Communications under UE Location Uncertainty

Aditya Jolly, Vitaly Petrov, Gábor Fodor, Emil Björnson

To achieve the desired coverage and capacity levels, future terahertz (THz) wireless systems are envisioned to utilize extremely large antenna arrays. At THz frequencies, the combination of short wavelengths and large array apertures often makes many of the conventional far-field…

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arxiveess.SP2026-07-24

PHY Authentication for Ambient IoTs in Near-Field XL-MIMO Backscatter Communication Systems

Fikiri Salum Uledi, Hafsa Ahmad, Muhammad Bilal Janjua, Cagri Ozgenc Etemoglu, Huseyin Arslan

This letter exploits near-field (NF) spherical wavefronts to derive geometry-dependent physical signatures for backscatter device (BD) authentication in extremely large-scale multiple-input multiple-output (XL-MIMO) backscatter communication systems. We propose a binary element-w…

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