电子科技大学学报2026，Vol.28Issue(4)：488-495,8.DOI:10.12178/1001-0548.2025084
多域联合表征的电网无线通信链路质量预测
Multi-domain joint representation-based wireless communication link quality prediction for power grids
马玫 1李兴 1樊雪婷 1彭伟夫 1李旭旭2
作者信息
- 1. 国网四川省电力公司信息通信公司,成都 610041
- 2. 国网四川省电力公司设备管理部,成都 610041
- 折叠
摘要
Abstract
To address the challenges of insufficient dynamic representation and low prediction accuracy in wireless link quality prediction for smart grids,this paper proposes a multi-domain joint representation framework.First,a CNN(convolutional neural network)-Transformer hybrid temporal encoder is designed to integrate the local feature extraction capability of CNNs with the global temporal modeling advantages of self-attention mechanisms,accurately capturing nonlinear fluctuation patterns in sequences.Second,a complex-valued depthwise separable convolution-based time-frequency encoder is developed to directly process the complex spectrogram generated by time-frequency transformation,preserving amplitude-phase correlation characteristics.Finally,a symmetric multi-domain feature cross-fusion module is proposed to achieve semantic alignment between temporal and time-frequency domains through bidirectional feature interaction,with a contrastive loss function introduced to enhance feature discriminability.Experiments on 48-hour continuous real-world grid wireless link data demonstrate that the proposed method achieves a maximum improvement of 7.3%in link quality prediction tasks compared to mainstream single-domain models,validating the effectiveness of multi-domain joint representation.关键词
无线通信链路质量预测/多域联合表征/复值卷积网络/跨域融合Key words
wireless communication link quality prediction/multi-domain joint representation/complex-valued convolutional network/cross-domain fusion分类
信息技术与安全科学引用本文复制引用
马玫,李兴,樊雪婷,彭伟夫,李旭旭..多域联合表征的电网无线通信链路质量预测[J].电子科技大学学报,2026,28(4):488-495,8.
