Is there an article for blind mimo channel estimation focused on attention deep learning?
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Blind MIMO channel estimation focused on attention deep learning is addressed in the paper by Karakoca et al.. They propose a channel estimation method that combines compressive sensing (CS) with a novel denoising network based on sparse feature attention. The method outperforms state-of-the-art compressed sensing-based algorithms and previous LAMP-based neural networks, while using less pilot transmission. Another paper by Yu et al. attempts to quantify the uncertainty of DL-based channel estimators and proposes a statistical method for blind predictions of mean squared error. The method is efficient and scales linearly with the number of antennas. Both papers provide solutions for blind MIMO channel estimation using attention deep learning techniques.
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04 Dec 2022 | No, the provided paper does not focus on blind MIMO channel estimation using attention deep learning. The paper proposes a channel estimation method combining compressive sensing with a novel denoising network based on sparse feature attention. |
| The provided paper does not mention anything about blind MIMO channel estimation or attention deep learning. | |
04 Dec 2022 | No, the provided paper does not focus on blind MIMO channel estimation using attention deep learning. The paper proposes a channel estimation method combining compressive sensing with a novel denoising network based on sparse feature attention. |
1 Citations | The provided paper does not focus on blind MIMO channel estimation using attention deep learning. |
15 Nov 2022 | The provided paper does not focus on blind MIMO channel estimation using attention deep learning. |
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