<ul><li>This paper focuses on energy-efficient communication in next-generation Internet of Things (NG-IoT) networks.</li><li>The authors deployed flying LoRa gateways mounted on unmanned aerial vehicles (UAVs).</li><li>They aim to maximize the global system energy efficiency of wireless LoRa networks through joint optimization.</li><li>Their proposed method, using a cooperative multi-agent reinforcement learning approach, outperforms conventional schemes.</li></ul>

Energy-Efficient Flying LoRa Gateways: A Multi-Agent Reinforcement Learning Approach

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