With the rapid advancement and deep integration of the Internet of Things (IoT) and 5G technologies, mobile edge computing (MEC) has undertaken an increasingly important role in enhancing service quality. Leveraging their high mobility and flexible deployment, unmannedaerial vehicles (UAVs) extend MEC services to chall...
Zhao Tong, Shi-Yan Zhang, Jing Mei et al.· IEEE Transactions on Mobile...· 0 citations
The exponential growth of edge devices and growing demand for low-latency, high-throughput applications have established edge computing as essential infrastructure. Edge computing enables near-data computation to alleviate device burdens, yet task offloading optimization remains challenging due to the heterogeneous, dy...
Zhao Tong, Shi-Zhen Xiao, Xi Zhang et al.· IEEE Transactions on Mobile...· 0 citations
Unmanned Aerial Vehicles (UAVs) are pivotal for facilitating data collection in emergency scenarios. Despite the potential of Multi-Agent Deep Reinforcement Learning (MADRL) in coordinating such systems, existing researches struggle to resolve the high-dimensional coupling of data collection, trajectory planning, and e...
Jing Mei, Jing-Lei Xu, Zhao Tong et al.· IEEE Transactions on Network...· 0 citations
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