Cross-Far-and-Near-Field Channel Measurement and Modeling in Extremely Large-Scale Movable Antenna Array Systems

Technologies such as ultra-massive multiple-inputmultiple- output and reconfigurable intelligent surfaces are of special interest for achieving the key performance indicators of future wireless systems, including ubiquitous connectivity and lightning-fast data rates. A common feature of these technologies is the extremely large-scale antenna array (ELAA) systems, which consist of hundreds or thousands of antennas. These systems give rise to near-field (NF) propagation, as evidenced by the variations in large-scale and small-scale parameters observed across the ELAA in multiple cross-field experiments conducted at 290 GHz. In light of the new challenges in channel modeling and characterization across the far-field (FF) and the near-field, a general cross-field model framework for ELAA systems is proposed. Specifically in this model, a comprehensive analysis of various cross-field boundaries and closed-form expressions of corresponding NF or FF parameters is provided. Based on this model, extensive simulations are performed for ELAAs of varying sizes in indoor and urban macro-cell scenarios at frequency bands ranging from sub-6 GHz, millimeter-wave up to terahertz (THz). By considering the spherical-wave front as the ground truth, the cross-field model exponentially enhances the accuracy in characterizing multi-path parameters and evaluating the system capacity.

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Publication Details

Journal
IEEE Transactions on Antennas and Propagation
Published
2025-05-02
DOI
https://doi.org/10.1109/tap.2025.3564761
Citations
7
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
34.95
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article

Cross-Far-and-Near-Field Channel Measurement and Modeling in Extremely Large-Scale Movable Antenna Array Systems

Shu Sun, Chong Han, Yiqin Wang, Jianhua Zhang
7 citations
IEEE Transactions on Antennas and Propagation
Antenna Design and Analysis
34.95
article

Cross-Far-and-Near-Field Channel Measurement and Modeling in Extremely Large-Scale Movable Antenna Array Systems

Shu Sun, Chong Han, Yiqin Wang, Jianhua Zhang
article en
7 citations

Abstract

Technologies such as ultra-massive multiple-inputmultiple- output and reconfigurable intelligent surfaces are of special interest for achieving the key performance indicators of future wireless systems, including ubiquitous connectivity and lightning-fast data rates. A common feature of these technologies is the extremely large-scale antenna array (ELAA) systems, which consist of hundreds or thousands of antennas. These systems give rise to near-field (NF) propagation, as evidenced by the variations in large-scale and small-scale parameters observed across the ELAA in multiple cross-field experiments conducted at 290 GHz. In light of the new challenges in channel modeling and characterization across the far-field (FF) and the near-field, a general cross-field model framework for ELAA systems is proposed. Specifically in this model, a comprehensive analysis of various cross-field boundaries and closed-form expressions of corresponding NF or FF parameters is provided. Based on this model, extensive simulations are performed for ELAAs of varying sizes in indoor and urban macro-cell scenarios at frequency bands ranging from sub-6 GHz, millimeter-wave up to terahertz (THz). By considering the spherical-wave front as the ground truth, the cross-field model exponentially enhances the accuracy in characterizing multi-path parameters and evaluating the system capacity.

IEEE Transactions on Antennas and PropagationVol. 73(8)
Beijing University of Posts and Telecommunications (CN), Shanghai Jiao Tong University (CN), Shandong Jiaotong University (CN), Shanghai Research Center for Wireless Communications (CN)
Affordable and clean energy
Openalex Percentile: Top 0%
Antenna Design and Analysis
34.95
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Cross-Far-and-Near-Field Channel Measurement and Modeling in Extremely Large-Scale Movable Antenna Array Systems — Shu Sun, Chong Han, et al. · IEEE Transactions on Antennas and Propagation (2025) | TGRS Research Map | TGRS