Efficient 3D Antenna Radiation Pattern Reconstruction via Attention-Enhanced Feature Modulation

ZHOU Kequan; YU Guanding; JIN Minyu; LEI Zhichun

doi:10.11959/j.issn.1000-0801.DXKX260317

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Efficient 3D Antenna Radiation Pattern Reconstruction via Attention-Enhanced Feature Modulation

更新时间：2026-09-30

- Efficient 3D Antenna Radiation Pattern Reconstruction via Attention-Enhanced Feature Modulation
- Telecommunications Science (2026)
- 作者机构：
  
  1.浙江大学信息与电子工程学院，浙江杭州 310027
  2.华信咨询设计研究院有限公司，浙江杭州 310000
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62471434)
- DOI：10.11959/j.issn.1000-0801.DXKX260317
  CLC： TN929.5
- Received：18 May 2026，
  
  Revised：2026-07-09，
  
  Accepted：20 August 2026，
- 稿件说明：
移动端阅览
ZHOU Kequan, YU Guanding, JIN Minyu, et al. Efficient 3D Antenna Radiation Pattern Reconstruction via Attention-Enhanced Feature Modulation[J/OL]. Telecommunications Science, 2026.
DOI：

ZHOU Kequan, YU Guanding, JIN Minyu, et al. Efficient 3D Antenna Radiation Pattern Reconstruction via Attention-Enhanced Feature Modulation[J/OL]. Telecommunications Science, 2026. DOI： 10.11959/j.issn.1000-0801.DXKX260317.

摘要

针对无线通信仿真与网络规划中完整三维天线辐射方向图获取困难的问题，提出了一种基于注意力增强特征调制的高效三维天线辐射方向图重构方法。设计了轻量化稳健损失函数，以结构一致性约束替代现有深度学习方法的外部自编码器监督，降低额外训练负担。同时，引入双向交叉注意力与特征调制机制，对水平与垂直切片特征进行动态融合，从而显著提升全局重建的精度。此外，基于U-Net架构进一步改进了神经网络，在与基线同等参数量级下实现了更快的误差收敛和更高的重建精度。在多样化天线数据集上的仿真结果表明，该方法在均方根误差与结构相似性指标上均显著优于传统解析方法与现有人工智能基线，验证了该方法在天线辐射方向图重构方面的有效性。

Abstract

To address the difficulty of acquiring complete three-dimensional (3D) antenna radiation patterns for wireless simulation and network planning

an efficient reconstruction method based on attention-enhanced feature modulation was proposed. A lightweight robust loss function was designed

where structural consistency constraints were used to replace external autoencoder-based supervision

thereby reducing additional training overhead. Meanwhile

bidirectional cross-attention and feature modulation mechanisms were introduced to dynamically fuse horizontal and vertical slice features

thereby improving global reconstruction accuracy. Furthermore

the standard U-Net architecture was refined to achieve faster error convergence and higher reconstruction accuracy under a comparable parameter budget. Extensive simulations on a diverse antenna dataset demonstrate that the proposed method consistently outperforms both traditional analytical methods and existing artificial intelligence (AI) baselines in root mean square error (RMSE) and structural similarity index (SSIM) metrics

confirming its effectiveness for antenna radiation pattern reconstruction.

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Keywords

references

Zhang J , Yang L , Ma Q , et al . M2M facilitated wireless network coverage management and real-time monitoring [C ] // 2014 IEEE Network Operations and Management Symposium (NOMS) . Krakow, Poland : IEEE Press , 2014 : 1 - 5 .

周航 , 秦亚龙 , 龙泽宇等 . 基于三维传播建模与自适应遗传算法的低空通信基站配置优化 [J ] . 电信科学 , 2026 , 42 ( 4 ): 187 - 204 .

Zhou H , Qin Y , Long Z , et al . Optimization of low-altitude communication base station configuration based on three-dimensional propagation modeling and adaptive genetic algorithm [J ] . Telecommunications Science , 2026 , 42 ( 4 ): 187 - 204 .

Zhou K , Zhang G , Li H , et al . F4-CKM: Learning channel knowledge map with radio frequency radiance field rendering [J ] . IEEE Transactions on Communications , 2026 , 74 : 5684 - 5700 .

Alkhateeb A , Jiang S , Charan G . Real-time digital twins: Vision and research directions for 6G and beyond [J ] . IEEE Communications Magazine , 2023 , 61 ( 11 ): 128 - 134 .

Lin X , Kundu L , Dick C , et al . 6G digital twin networks: From theory to practice [J ] . IEEE Communications Magazine , 2023 , 61 ( 11 ): 72 - 78 .

丁旭辉 , 卢琦 , 张园园等 . 面向低空经济的通信技术综述 [J ] . 南京航空航天大学学报（自然科学版） , 2025 , 57 ( 6 ): 1026 - 1045 .

Ding X , Lu Q , Zhang Y , et al . Review on communication technologies for low-altitude economy [J ] . Journal of Nanjing University of Aeronautics & Astronautics , 2025 , 57 ( 6 ): 1026 - 1045 .

殷哲 . 低空通信网络优化研究 [J ] . 电信科学 , 2026 , 42 ( 1 ): 211 - 220 .

Yin Z . Research on optimization of low-altitude communication networks [J ] . Telecommunications Science , 2026 , 42 ( 1 ): 211 - 220 .

DiMeo P J , Sivaramakrishnan S , Iyer V . AI-based 3D antenna pattern reconstruction [C ] // 2024 IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting (AP-S/INC-USNC-URSI) . Firenze, Italy : IEEE Press , 2024 : 1 - 2 .

Gil F , Claro A R , Ferreira J M , et al . A 3-D extrapolation model for base station antennas' radiation patterns [C ] // Gateway to 21st Century Communications Village . VTC 1999 -Fall. IEEE VTS 50th Vehicular Technology Conference (Cat . No. 99CH36324). Amsterdam, Netherlands : IEEE Press , 1999 , 3 : 1341 - 1345 .

Gil F , Claro A R , Ferreira J M , et al . A 3D interpolation method for base-station-antenna radiation patterns [J ] . IEEE Antennas and Propagation Magazine , 2002 , 43 ( 2 ): 132 - 137 .

Allard R J , Werner D H . The model-based parameter estimation of antenna radiation patterns using windowed interpolation and spherical harmonics [J ] . IEEE Transactions on Antennas and Propagation , 2003 , 51 ( 8 ): 1891 - 1906 .

Vasiliadis T G , Dimitriou A G , Sergiadis G D . A novel technique for the approximation of 3-D antenna radiation patterns [J ] . IEEE Transactions on Antennas and Propagation , 2005 , 53 ( 7 ): 2212 - 2219 .

Petrita T , Ignea A . A new method for interpolation of 3D antenna pattern from 2D plane patterns [C ] // 2012 10th International Symposium on Electronics and Telecommunications . Timisoara, Romania : IEEE Press , 2012 : 393 - 396 .

Leonor N R , Caldeirinha R F S , Sánchez M G , et al . A three-dimensional directive antenna pattern interpolation method [J ] . IEEE Antennas and Wireless Propagation Letters , 2015 , 15 : 881 - 884 .

Ronneberger O , Fischer P , Brox T . U-Net: Convolutional networks for biomedical image segmentation [C ] // International Conference on Medical image computing and computer-assisted intervention (MICCAI) . Munich, Germany : Springer , 2015 : 234 - 241 .

Siddique N , Paheding S , Elkin C P , et al . U-Net and its variants for medical image segmentation: A review of theory and applications [J ] . IEEE Access , 2021 , 9 : 82031 - 82057 .

Wang Z , Bovik A C , Sheikh H R , et al . Image quality assessment: from error visibility to structural similarity [J ] . IEEE Transactions on Image Processing , 2004 , 13 ( 4 ): 600 - 612 .

Vaswani A , Shazeer N , Parmar N , et al . Attention is all you need [C ] // Advances in Neural Information Processing Systems (NIPS) . Long Beach, CA, USA : Curran Associates, Inc. , 2017 : 5998 - 6008 .

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