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Author

Guoru Ding

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2026

Spatio-Temporal-Frequency Radio Map Inference via Physical Guided Multiscale Bayesian Neural Networks

This letter aims to reconstruct spatio-temporal-frequency radio maps from sparse sensor measurements to support proactive wireless resource allocation in low-altitude UAV scenarios. We propose a physically guided multiscale Bayesian neural network (PGM-BNN), which integrates a learnable distance-dependent attenuation p...

Zexu Li, Yutao Jiao, Xing Guo et al. · 0 citations
#machine learning Preprint Aug 2026

WONDER: A Radio World Model-based Negotiation Framework for Multi-Agent UAV Coverage Optimization

A raido World-model-based Optimized Negotiation framework for Distributed UAV covERage (WONDER), which uses a Joint-Embedding Predictive Architecture (JEPA)-based radio world model to learn and predict the incremental radio effect of each candidate trajectory from deployment-available information and builds RadioDynami...

Jiahao Huang, Rong-Peng Li, Zhi-Feng Zhao et al. · 0 citations

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