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深度强化学习用于优化IEEE 802.11ah MAC层中的受限制访问窗口.

Xiaojun Jiang1,2, Shimin Gong1,2, Chengyi Deng1

  • 1School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China.

Sensors (Basel, Switzerland)
|May 25, 2024
PubMed
概括

在IEEE 802.11ah网络中使用近接策略优化 (PPO) 优化受限制访问窗口 (RAW) 参数可以显著提高物联网 (IoT) 吞吐量. 这种深度强化学习方法在动态条件下提高网络效率.

关键词:
这是IEEE 802.11ah.深度强化学习 (DRL) 是一种深度强化学习.有限制的访问窗口 (RAW)

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