46 citations · 95 across the 16 of their papers we have counts for
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eess.SY2023★ 1 cited
Beef up mmWave Dense Cellular Networks with D2D-Assisted Cooperative Edge Caching
Wen Wu, Ning Zhang, Nan Cheng +4
Edge caching is emerging as the most promising solution to reduce the content retrieval delay and relieve the huge burden on the backhaul links in the ultra-dense networks by proac…
eess.SY2023
Performance Analysis and Enhancement of Beamforming Training in 802.11ad
Wen Wu, Nan Cheng, Ning Zhang +4
Beamforming (BF) training is crucial to establishing reliable millimeter-wave communication connections between stations (STAs) and an access point. In IEEE 802.11ad BF training pr…
eess.SY2022★ 2 cited
Accuracy-Guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning
Wen Wu, Peng Yang, Weiting Zhang +3
Collaboration among industrial Internet of Things (IoT) devices and edge networks is essential to support computation-intensive deep neural network (DNN) inference services which r…