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A Review on Electromagnetic Spectrum Map Construction: Methods, Challenges, and System Integration for 6G

  • Chenxiao Yu
  • , Min Guo
  • , Qing Guo
  • , Dongwei Zhao
  • , Lechi Zhang
  • , Zhenyu Xu
  • , Anjie Cao
  • , Junteng Yang
  • , Wensheng Lin
  • , Wenchi Cheng
  • , Qinghe Du
  • , Lixin Li
  • Northwestern Polytechnical University Xian
  • Ministry of Industry and Information Technology
  • No.208 Research Institute of China Ordnance Industries
  • Ltd.
  • Shanghai Institute of Satellite Engineering
  • Ltd.
  • State Key Laboratory of Integrated Services Networks
  • Xi'an Jiaotong University

Research output: Contribution to journalReview articlepeer-review

Abstract

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.

Original languageEnglish
Article number2439
JournalElectronics (Switzerland)
Volume15
Issue number11
DOIs
StatePublished - Jun 2026

Keywords

  • 3D radio map
  • 6G networks
  • channel knowledge map
  • deep learning
  • digital twin network
  • electromagnetic spectrum map
  • generative diffusion model
  • integrated sensing and communication
  • radio environment map
  • spectrum cartography
  • spectrum situational awareness
  • time-varying prediction

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