使线LSTM

Tamizhelakkiya Kolangiyappan1, Sabitha Gauni1,2, Prabhu Chandhar3

  • 1Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India.

Network (Bristol, England)
|September 30, 2024
PubMed
概括

本研究介绍了一种长短期记忆 (LSTM) 模型,用于认知无线电网络中的频谱占用预测. 该LSTM方法提高了移动流量预测的准确性,以实现高效的频谱管理.

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