Learning for detection: MIMO-OFDM symbol detection through downlink pilots

Z Zhou, L Liu, HH Chang - IEEE Transactions on Wireless …, 2020 - ieeexplore.ieee.org
In this paper, we introduce a reservoir computing (RC) structure, namely, windowed echo
state network (WESN), for multiple-input-multiple-output orthogonal frequency-division …

Learning for Detection: MIMO-OFDM Symbol Detection through Downlink Pilots

Z Zhou, L Liu, HH Chang - arXiv preprint arXiv:1907.01516, 2019 - arxiv.org
Reservoir computing (RC) is a special recurrent neural network which consists of a fixed
high dimensional feature mapping and trained readout weights. In this paper, we introduce a …

[PDF][PDF] Learning for Detection: MIMO-OFDM Symbol Detection through Downlink Pilots

Z Zhou, L Liu, HH Chang - arXiv preprint arXiv:1907.01516, 2019 - researchgate.net
Reservoir computing (RC) is a special recurrent neural network which consists of a fixed
high dimensional feature mapping and trained readout weights. In this paper, we introduce a …

Learning for Detection: MIMO-OFDM Symbol Detection through Downlink Pilots

Z Zhou, L Liu, HH Chang - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Reservoir computing (RC) is a special recurrent neural network which consists of a fixed
high dimensional feature mapping and trained readout weights. In this paper, we introduce a …

[PDF][PDF] Learning for Detection: MIMO-OFDM Symbol Detection through Downlink Pilots

Z Zhou, L Liu, HH Chang - ieeexplore.ieee.org
In this paper, we introduce a reservoir computing (RC) structure, windowed echo state
network (WESN), for multiple-input-multiple-output orthogonal frequency-division …

Learning for Detection: MIMO-OFDM Symbol Detection Through Downlink Pilots

Z Zhou, L Liu, HH Chang - IEEE Transactions on Wireless …, 2020 - par.nsf.gov
(RC) structure, namely, windowed echo state network (WESN), for multiple-input-multiple-
output orthogonal frequency-division multiplexing (MIMO-OFDM) symbol detection. We …