most citedDynamic Resource Configuration for Low-Power IoT Networks: A Multi-Objective Reinforcement Learning Method

24 citations · 24 across the 1 of their papers we have counts for

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1 paper

cs.IT2021★ 24 cited

Dynamic Resource Configuration for Low-Power IoT Networks: A Multi-Objective Reinforcement Learning Method

Yang Huang, Caiyong Hao, Yijie Mao +1

Considering grant-free transmissions in low-power IoT networks with unknown time-frequency distribution of interference, we address the problem of Dynamic Resource Configuration (D…