Joint Channel Estimation and Symbol Detection in MIMO-OFDM Systems: A Deep Learning Approach using Bi-LSTM
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9668311/9667790/09668456.pdf?arnumber=9668456
Reference21 articles.
1. Deep Learning-Based Channel Estimation for Doubly Selective Fading Channels
2. Compressive sensing based channel estimation for MIMO-OFDM systems
3. ChanEstNet: A Deep Learning Based Channel Estimation for High-Speed Scenarios
4. FompNet: Compressive sensing reconstruction with deep learning over wireless fading channels
5. Deep Learning for Joint Channel Estimation and Signal Detection in OFDM Systems
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2. Dual interactive Wasserstein generative adversarial networks optimized with hybrid Archimedes optimization and chimp optimization algorithm‐based channel estimation in OFDM;International Journal of Communication Systems;2024-02-15
3. An Optimized Sequence for Sparse Channel Estimation in a 5G MIMO System;International Journal of Electronics;2024-01-22
4. Recurrent neural network and federated learning based channel estimation approach in mmWave massive MIMO systems;Transactions on Emerging Telecommunications Technologies;2023-12-28
5. An efficient deep neural network channel state estimator for OFDM wireless systems;Wireless Networks;2023-12-05
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