TY - JOUR
T1 - A Review on Electromagnetic Spectrum Map Construction
T2 - Methods, Challenges, and System Integration for 6G
AU - Yu, Chenxiao
AU - Guo, Min
AU - Guo, Qing
AU - Zhao, Dongwei
AU - Zhang, Lechi
AU - Xu, Zhenyu
AU - Cao, Anjie
AU - Yang, Junteng
AU - Lin, Wensheng
AU - Cheng, Wenchi
AU - Du, Qinghe
AU - Li, Lixin
N1 - Publisher Copyright:
© 2026 by the authors.
PY - 2026/6
Y1 - 2026/6
N2 - As wireless networks evolve from 5G toward 6G, the complexity of the electromagnetic environment increases sharply. Spectrum usage expands significantly into millimetre-wave (mmWave) and terahertz (THz) high-frequency bands. Network node density and mobility increase markedly. Moreover, communication-sensing-computation functions are deeply integrated. Accurate, real-time, full-band Electromagnetic Spectrum Maps (ESMs) have become a core infrastructure for 6G spectrum situational awareness, Dynamic Spectrum Access (DSA), interference coordination, and Integrated Sensing and Communication (ISAC). However, while a growing body of recent work extends radio mapping to multi-band and temporal domains, the predominant focus of existing Radio Map research remains the two-dimensional spatial power distribution at a single fixed frequency—essentially a degenerate special case of ESM after the frequency and time dimensions are collapsed—and no existing survey unifies 3D spatial construction, time-varying prediction, and full 6G system integration under a shared 4D formalism. This paper focuses on the three core research dimensions of ESMs, i.e., 3D spatial ESM construction, dynamic time-varying ESM modelling and prediction, and ESM integration with 6G systems. Under a unified four-dimensional ESM framework (space × frequency × time × power), we clarify the hierarchical relationships among ESM/SEM/REM/Radio Map/Channel Knowledge Maps (CKMs). Then, we systematically review 3D ESM construction, dynamic ESM modelling and prediction, and the integration of ESM with CKM/Digital Twin Networks (DTNs)/ISAC. Finally, we identify five, core open problems that constrain the development of the field to provide a systematic reference for 6G intelligent spectrum management research.
AB - As wireless networks evolve from 5G toward 6G, the complexity of the electromagnetic environment increases sharply. Spectrum usage expands significantly into millimetre-wave (mmWave) and terahertz (THz) high-frequency bands. Network node density and mobility increase markedly. Moreover, communication-sensing-computation functions are deeply integrated. Accurate, real-time, full-band Electromagnetic Spectrum Maps (ESMs) have become a core infrastructure for 6G spectrum situational awareness, Dynamic Spectrum Access (DSA), interference coordination, and Integrated Sensing and Communication (ISAC). However, while a growing body of recent work extends radio mapping to multi-band and temporal domains, the predominant focus of existing Radio Map research remains the two-dimensional spatial power distribution at a single fixed frequency—essentially a degenerate special case of ESM after the frequency and time dimensions are collapsed—and no existing survey unifies 3D spatial construction, time-varying prediction, and full 6G system integration under a shared 4D formalism. This paper focuses on the three core research dimensions of ESMs, i.e., 3D spatial ESM construction, dynamic time-varying ESM modelling and prediction, and ESM integration with 6G systems. Under a unified four-dimensional ESM framework (space × frequency × time × power), we clarify the hierarchical relationships among ESM/SEM/REM/Radio Map/Channel Knowledge Maps (CKMs). Then, we systematically review 3D ESM construction, dynamic ESM modelling and prediction, and the integration of ESM with CKM/Digital Twin Networks (DTNs)/ISAC. Finally, we identify five, core open problems that constrain the development of the field to provide a systematic reference for 6G intelligent spectrum management research.
KW - 3D radio map
KW - 6G networks
KW - channel knowledge map
KW - deep learning
KW - digital twin network
KW - electromagnetic spectrum map
KW - generative diffusion model
KW - integrated sensing and communication
KW - radio environment map
KW - spectrum cartography
KW - spectrum situational awareness
KW - time-varying prediction
UR - https://www.scopus.com/pages/publications/105041518423
U2 - 10.3390/electronics15112439
DO - 10.3390/electronics15112439
M3 - 文献综述
AN - SCOPUS:105041518423
SN - 2079-9292
VL - 15
JO - Electronics (Switzerland)
JF - Electronics (Switzerland)
IS - 11
M1 - 2439
ER -