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Conference Aug 2026

Enhancing Radio Vision with Attentive Eyes: EPLNet for Digital Twin Oriented Data-Scarce and Cross-Scenario Pathloss Map Prediction

Accurate and efficient pathloss map prediction is essential for wireless network planning and optimization in the beyond 5th generation mobile communication (B5G) systems. Recent learning-based approaches have demonstrated promising performance by employing convolutional encoder-decoder architectures with atrous convol...

Mao-Dong Chen, Miao Liu, Yang Peng et al. · 0 citations
2026

Sustaining Connectivity From the Sky: A Feasibility-Driven MARL Strategy for Communication-Computing Coordination in Multi-UAV Emergency Networks

When terrestrial base stations are damaged after disasters, multiple cooperative uncrewed aerial vehicles (UAVs) can be rapidly deployed to provide temporary communication access and edge computing services. However, post-disaster scenarios involve heterogeneous tasks, dynamic user distribution, and time-varying air-to...

Bang-He Xu, Hai-Tao Zhao, Miao Liu et al. · 0 citations

A Bio-Inspired Hierarchical Federated Learning Framework With Joint Computing Communication Control Optimization for Green UAV Inspection

With the development of UAV communications and aerial edge intelligence, Uncrewed Aerial Vehicles (UAVs) are increasingly used for inspection in high-risk environments. However, limited onboard energy and data-privacy constraints make efficient collaborative learning challenging. Hierarchical Federated Learning (HFL) p...

Tian-Le Xia, Haitao Zhao, Miao Liu et al. · 0 citations

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