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The paper discusses the use of Intelligent Reflecting Surfaces (IRSs) in enhancing wireless communication systems, emphasizing the importance of accurate channel estimation for optimizing signal transmission. It explores the application of recurrent neural networks (RNNs), including LSTM, BiLSTM, and GRU models, to improve performance metrics such as bit error rate (BER) and symbol error rate (SER). The study presents comparative results demonstrating that hybrid RNN combinations yield superior accuracy in

Author

Ansal Abbas

Language

EN