A one-hidden-layer DDQN agent learns to choose feasible IAB donor base stations for three network slices in a simulated seven-node 5G backhaul, reaching perfect held-out reward.
Deep reinforcement learning-based spectrum allocation in integrated access and backhaul networks,
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Deep Reinforcement Learning for Backhaul Link Selection for Network Slices in IAB Networks
A one-hidden-layer DDQN agent learns to choose feasible IAB donor base stations for three network slices in a simulated seven-node 5G backhaul, reaching perfect held-out reward.