Deep Learning-Based Channel Estimation

Y. Li, L. J. Cimini, and N. R. Sollenberger, “Robust channel estimation for ofdm systems with rapid dispersive fading channels,” IEEE Transactions on Communications

1998

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D. Erdogmus, D. Rende, J. C. Principe, and T. F. Wong, “Nonlinear channel equalization using multilayer perceptrons with information-theoretic criterion,” in Neural Networks for Signal Processing XI: Proceedings of the 2001 IEEE Signal Processing Society Workshop (IEEE Cat. No.01TH8584)

2001

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S. Coleri, M. Ergen, A. Puri, and A. Bahai, “Channel estimation techniques based on pilot arrangement in ofdm systems,” IEEE Transactions on Broadcasting

2002

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S. Omar, A. Ancora, and D. T. M. Slock, “Performance analysis of general pilot-aided linear channel estimation in lte ofdma systems with application to simplified mmse schemes,” in 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications

2008

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M. Šimko, C. Mehlführer, M. Wrulich, and M. Rupp, “Doubly dispersive channel estimation with scalable complexity,” in 2010 International ITG Workshop on Smart Antennas (WSA)

2010

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C. Mehlführer, J. Colom Ikuno, M. Šimko, S. Schwarz, M. Wrulich, and M. Rupp, “The vienna lte simulators - enabling reproducibility in wireless communications research,” EURASIP Journal on Advances in Signal Processing

2011

Cited alongside, same era.

C. Dong, C. C. Loy, K. He, and X. Tang, “Image super-resolution using deep convolutional networks,” IEEE Transactions on Pattern Analysis and Machine Intelligence

2016

Cited alongside, same era.

T. O’Shea and J. Hoydis, “An introduction to deep learning for the physical layer,” IEEE Transactions on Cognitive Communications and Networking

2017

Cited alongside, same era.

N. Samuel, T. Diskin, and A. Wiesel, “Deep mimo detection,” in 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

2017

Cited alongside, same era.

K. Zhang, W. Zuo, Y. Chen, D. Meng, and L. Zhang, “Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising,” IEEE Transactions on Image Processing

2017

Later among the works it cites.

C. Wen, W. Shih, and S. Jin, “Deep learning for massive mimo csi feedback,” IEEE Wireless Communications Letters

2018

Closest in time.

H. Ye, G. Y. Li, and B.-H. Juang, “Power of deep learning for channel estimation and signal detection in ofdm systems,” IEEE Wireless Communications Letters

2018

Closest in time.

H. He, C. Wen, S. Jin, and G. Y. Li, “Deep learning-based channel estimation for beamspace mmwave massive mimo systems,” IEEE Wireless Communications Letters

2018

Closest in time.