RadioGAT: A Joint Model-Based and Data-Driven Framework for Multi-Band Radiomap Reconstruction via Graph Attention Networks

Multi-band radiomap reconstruction (MB-RMR) is a key component in wireless communications for tasks such as spectrum management and network planning. However, traditional machine-learning-based MB-RMR methods, which rely heavily on simulated data or complete structured ground truth, face significant...

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Veröffentlicht in:	IEEE transactions on wireless communications 2024-11, Vol.23 (11), p.17777-17792
Hauptverfasser:	Li, Xiaojie, Zhang, Songyang, Li, Hang, Li, Xiaoyang, Xu, Lexi, Xu, Haigao, Mei, Hui, Zhu, Guangxu, Qi, Nan, Xiao, Ming
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Correlation Data models Encoding graph neural network joint model-based and data-driven framework Multi-band radiomap Radio propagation spatial-spectral correlation Training Wireless communication
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