IMNet: Interference-Aware Channel Knowledge Map Construction and Localization

Le Zhao, Zesong Fei, Xinyi Wang*, Jingxuan Huang, Yuan Li, Yan Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a novel two-stage method for constructing channel knowledge maps (CKMs) specifically for A2G (Aerial-to-Ground) channels in the presence of non-cooperative interfering nodes (INs). We first estimate the interfering signal strength (ISS) at sampling locations based on total received signal strength measurements and the desired communication signal strength (DSS) map constructed with environmental topology. Next, an ISS map construction network (IMNet) is proposed, where a negative value correction module is included to enable precise reconstruction. Subsequently, we further execute signal-to-interference-plus-noise ratio map construction and IN localization. Simulation results demonstrate lower construction error of the proposed IMNet compared to baselines in the presence of interference.

Original languageEnglish
JournalIEEE Wireless Communications Letters
DOIs
Publication statusAccepted/In press - 2025

Keywords

  • Channel knowledge map
  • deep learning
  • interference localization
  • interfering signal strength

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Zhao, L., Fei, Z., Wang, X., Huang, J., Li, Y., & Zhang, Y. (Accepted/In press). IMNet: Interference-Aware Channel Knowledge Map Construction and Localization. IEEE Wireless Communications Letters. https://doi.org/10.1109/LWC.2025.3526222