Electromagnetic Twin Space: When Digital Twins Meet the Electromagnetic Space

With the escalating demand for electromagnetic spectrum resources in the 5G/6G era, efficient management of the electromagnetic space has become a critical challenge. This paper proposes the concept of an Electromagnetic Digital Twin (EDT) and an innovative framework for constructing Electromagnetic Twin Space (ETS) to achieve high-fidelity dynamic mapping and real-time optimization of the electromagnetic space through digital twin technology. We elaborate on the EDT concept, introducing a three-layer architecture comprising Physical Device Twin (PDT), Propagation Environment Twin (PET), and Electromagnetic Situation Twin (EST), thereby systematically integrating digital twin technology into the electromagnetic domain. Furthermore, we designed the ETS construction framework, clarifying the four key links between ETS construction and operation and their associated technologies. Through a case study, we demonstrate the effectiveness of a GAN-based EST, which achieves significantly better prediction accuracy than traditional methods. The findings show that incorporating building information and transmitter parameters substantially enhances the accuracy of EST, as evidenced by the RMSE metrics of the constructed electromagnetic situation. Moreover, the trained GAN model can generate electromagnetic situations under various building scenarios and transmitter locations, providing a valuable experimental platform for transmitter deployment.

Authors

Institutions

Publication Details

Journal
Electronics
Published
2025-11-20
DOI
https://doi.org/10.3390/electronics14224546
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electromagnetic Twin Space: When Digital Twins Meet the Electromagnetic Space

Zhen Pan, Meng Wang, Daoxing Guo, Ning Wang et al.
Electronics
Advanced Wireless Communication Technologies
article

Electromagnetic Twin Space: When Digital Twins Meet the Electromagnetic Space

Zhen Pan, Meng Wang, Daoxing Guo, Ning Wang, Chuan Gu, Bowen Zhu
article en

Abstract

With the escalating demand for electromagnetic spectrum resources in the 5G/6G era, efficient management of the electromagnetic space has become a critical challenge. This paper proposes the concept of an Electromagnetic Digital Twin (EDT) and an innovative framework for constructing Electromagnetic Twin Space (ETS) to achieve high-fidelity dynamic mapping and real-time optimization of the electromagnetic space through digital twin technology. We elaborate on the EDT concept, introducing a three-layer architecture comprising Physical Device Twin (PDT), Propagation Environment Twin (PET), and Electromagnetic Situation Twin (EST), thereby systematically integrating digital twin technology into the electromagnetic domain. Furthermore, we designed the ETS construction framework, clarifying the four key links between ETS construction and operation and their associated technologies. Through a case study, we demonstrate the effectiveness of a GAN-based EST, which achieves significantly better prediction accuracy than traditional methods. The findings show that incorporating building information and transmitter parameters substantially enhances the accuracy of EST, as evidenced by the RMSE metrics of the constructed electromagnetic situation. Moreover, the trained GAN model can generate electromagnetic situations under various building scenarios and transmitter locations, providing a valuable experimental platform for transmitter deployment.

ElectronicsVol. 14(22)
PLA Army Engineering University (CN)
Openalex Percentile: Top 65%
Advanced Wireless Communication Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.