Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs With Graph Convolutional Networks
For densely deployed wireless local area networks (WLANs), this paper proposes a deep reinforcement learning-based channel allocation scheme that enables the efficient use of experience.The central idea is that an objective function is modeled relative to communication quality as a parametric function of a pair of observed topologies and channels.T