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eess.SP2020
Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer
Wei Cui, Wei Yu
This paper proposes a novel scalable reinforcement learning approach for simultaneous routing and spectrum access in wireless ad-hoc networks. In most previous works on reinforceme…
eess.SP2018
Spatial Deep Learning for Wireless Scheduling
Wei Cui, Kaiming Shen, Wei Yu
The optimal scheduling of interfering links in a dense wireless network with full frequency reuse is a challenging task. The traditional method involves first estimating all the in…