23 citations · 32 across the 5 of their papers we have counts for
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eess.SP2020
On Deep Learning Solutions for Joint Transmitter and Noncoherent Receiver Design in MU-MIMO Systems
Songyan Xue, Yi Ma, Na Yi +1
This paper aims to handle the joint transmitter and noncoherent receiver design for multiuser multiple-input multiple-output (MU-MIMO) systems through deep learning. Given the deep…
eess.SP2020★ 7 cited
A Modular Neural Network Based Deep Learning Approach for MIMO Signal Detection
Songyan Xue, Yi Ma, Na Yi +1
In this paper, we reveal that artificial neural network (ANN) assisted multiple-input multiple-output (MIMO) signal detection can be modeled as ANN-assisted lossy vector quantizati…
eess.SP2020★ 2 cited
An Orthogonal-SGD based Learning Approach for MIMO Detection under Multiple Channel Models
Songyan Xue, Yi Ma, Rahim Tafazolli
In this paper, an orthogonal stochastic gradient descent (O-SGD) based learning approach is proposed to tackle the wireless channel over-training problem inherent in artificial neu…