The Analysis of Beamforming Resolution for Near-Field MIMO Communication Networks

With the rapid development of sixth-generation (6G) wireless networks and large-scale multiple-input multiple-output (MIMO) technology, the traditional far-field plane wave model becomes inaccurate, and a spherical wave model must be employed. We analyze the near-field beamforming resolution and a closed-form approximation of the resolution is derived using the Fresnel approximation and Taylor expansion, revealing its dependence on the number of antennas and user positions. We further provide sufficient conditions to guarantee a desired resolution threshold, and demonstrate that the resulting constraints are monotonic and solvable by efficient numerical methods. Simulation results confirm the accuracy of the proposed approximation and its usefulness in guiding near-field transmission design.

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Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/crsit66101.2025.11141611
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

The Analysis of Beamforming Resolution for Near-Field MIMO Communication Networks

Jianyue Zhu, Juntao Zhu, Tong Lin, Liyuan Gao
Advanced MIMO Systems Optimization
article

The Analysis of Beamforming Resolution for Near-Field MIMO Communication Networks

Jianyue Zhu, Juntao Zhu, Tong Lin, Liyuan Gao
article en

Abstract

With the rapid development of sixth-generation (6G) wireless networks and large-scale multiple-input multiple-output (MIMO) technology, the traditional far-field plane wave model becomes inaccurate, and a spherical wave model must be employed. We analyze the near-field beamforming resolution and a closed-form approximation of the resolution is derived using the Fresnel approximation and Taylor expansion, revealing its dependence on the number of antennas and user positions. We further provide sufficient conditions to guarantee a desired resolution threshold, and demonstrate that the resulting constraints are monotonic and solvable by efficient numerical methods. Simulation results confirm the accuracy of the proposed approximation and its usefulness in guiding near-field transmission design.

Nanjing University of Information Science and Technology (CN), Shanghai Electric (China) (CN)
Openalex Percentile: Top 78%
Advanced MIMO Systems Optimization
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