3 citations · 3 across the 1 of their papers we have counts for
3 papers
eess.SY2023★ 3 cited
Knowledge-Driven Resource Allocation for D2D Networks: A WMMSE Unrolled Graph Neural Network Approach
Hao Yang, Nan Cheng, Ruijin Sun +5
This paper proposes an novel knowledge-driven approach for resource allocation in device-to-device (D2D) networks using a graph neural network (GNN) architecture. To meet the milli…
eess.SY2023
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…