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简化深度强化学习方法用于电源域NOMA系统中的通道预测

Mohamed Gaballa1, Maysam Abbod1

  • 1Department of Electronic and Electrical Engineering, Brunel University London, Uxbridge UB8 3PH, UK.

Sensors (Basel, Switzerland)
|November 14, 2023
PubMed
概括

本研究介绍了一种简化的深度Q网络 (DQN) 算法,用于在电源域非直角多重访问 (PD-NOMA) 系统中准确预测通道参数. DQN方法提高了下游链路总和率,并在道估计中优于基准方法.

关键词:
DQN DQN 在线观看DRL DRL是指指DLL是指DLL的意思.这是LSTM的LSTM.这就是NOMA NOMA.这就是Q-learning.

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