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.· 2026 IEEE/CIC International...· 0 citations
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.· IEEE Transactions on Cogniti...· 0 citations
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.· IEEE Transactions on Paralle...· 0 citations
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