most citedKnowledge-Driven Resource Allocation for D2D Networks: A WMMSE Unrolled Graph Neural Network Approach

3 citations · 3 across the 1 of their papers we have counts for

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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…