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Found 4 papers, 4 papers with code
Channelformer: Attention based Neural Solution for Wireless Channel Estimation and Effective Online Training
In this paper, we propose an encoder-decoder neural architecture (called Channelformer) to achieve improved channel estimation for orthogonal frequency-division multiplexing (OFDM) waveforms in downlink scenarios.
Achieving Robust Generalization for Wireless Channel Estimation Neural Networks by Designed Training Data
In this paper, we propose a method to design the training data that can support robust generalization of trained neural networks to unseen channels.
Attention Based Neural Networks for Wireless Channel Estimation
In this paper, we deploy the self-attention mechanism to achieve improved channel estimation for orthogonal frequency-division multiplexing waveforms in the downlink.
Low Complexity Channel estimation with Neural Network Solutions
Research on machine learning for channel estimation, especially neural network solutions for wireless communications, is attracting significant current interest.
