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Author

Miao Liu

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#edge computing Nov 2026

Hybrid-Action MADRL-Based Scheduling for Task Offloading and Trajectory Planning in Multi-UAV Systems With Latency Minimization

Considering the limitations of a single uncrewed aerial vehicle (UAV) in capacity and coverage, cooperative UAVs assisted mobile edge computing (MEC) architecture has been popular for large-scale mobile terminals (MTs). However, the high mobility of MTs and the limited resources of UAVs lead to challenges such as imbal...

Wen-Xue Sun, Hai-Tao Zhao, Miao Liu et al. · 0 citations
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
#federated learning Nov 2026

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, Hai-Tao Zhao, Miao Liu et al. · 0 citations
#federated learning Sep 2026

A Spatiotemporal Coupling-Based Clustered Federated Learning Scheme for Low Latency Digital Twin Within Heterogeneous IIoT

Data-driven deep learning (DL) techniques have increasingly been employed to construct digital twin (DT) models for the intelligent industrial Internet of Things (IIoT) systems. Within DTs, federated learning (FL) offers a decentralized framework that enables distributed entities to collaboratively update global models...

Yi Cheng, Miao Liu, Haotai Zhao et al. · 0 citations
Conference Jul 2026

Joint Trajectory and Spectrum Optimization for Anti-Jamming UAV Swarms: A DRL Approach

Reliable link maintenance is currently a critical bottleneck for unmanned aerial vehicle (UAV) swarm communications in complex electromagnetic environments where UAVs encounter both external malicious jamming and internal interference. Most recent studies have treated trajectory design and resource scheduling as decoup...

Miao Liu, Nan Qi, Hua Jiang et al. · 0 citations

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