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eess.SP2025
TiRE-GAN: Task-Incentivized Generative Learning for Radiomap Estimation
Yueling Zhou, Achintha Wijesinghe, Yibo Ma +2
To characterize radio frequency (RF) signal power distribution in wireless communication systems, the radiomap is a useful tool for resource allocation and network management. Usua…
eess.SP2024
RadioGAT: A Joint Model-based and Data-driven Framework for Multi-band Radiomap Reconstruction via Graph Attention Networks
Xiaojie Li, Songyang Zhang, Hang Li +7
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-l…