Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems
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1,153 citations
Additional excerpts
...The authors in [184] propose to use the deep learning for the symbol detection in OFDM systems....
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975 citations
Cites background or methods from "Power of Deep Learning for Channel ..."
...[364] Channel estimation and signal detection in OFDM systsms....
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...A similar idea is implemented in [364], where Ye et al....
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935 citations
595 citations
Cites background from "Power of Deep Learning for Channel ..."
...For example, in channel estimation and symbol detection, deep learning approaches reported in [78], [79] have shown that the proposed deep learning-based symbol detection algorithms can provide robust and accurate results with reduced complexity....
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587 citations
Cites background from "Power of Deep Learning for Channel ..."
...Deep learning has been recently applied to solve compressive image recovery [5] and wireless communications [7], [8]....
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References
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14,635 citations
"Power of Deep Learning for Channel ..." refers background in this paper
...A comprehensive introduction to deep learning and machine learning can be found in [1]....
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2,510 citations
1,341 citations
"Power of Deep Learning for Channel ..." refers background or methods in this paper
...As indicated in [10], a notable drawback of OFDM is the high peak-to-average power ratio (PAPR)....
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...To reduce PAPR, the clipping and filtering approach serves as a simple and effective approach [10]....
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1,159 citations
"Power of Deep Learning for Channel ..." refers methods in this paper
...The wireless channel follows the wireless world initiative for new radio model (WINNER II) [9], where the carrier frequency is 2....
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