4 papers
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…
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…
To Learn or Not to Learn: Deep Learning Assisted Wireless Modem Design
S. Xue, A. Li, J. Wang +4
Deep learning is driving a radical paradigm shift in wireless communications, all the way from the application layer down to the physical layer. Despite this, there is an ongoing d…
Square Deviation Based Symbol-Level Selection for Virtual Full-Duplex Relaying Networks
Jiancao Hou, Sandeep Narayanan, Na Yi +2
In this paper, a symbol-level selective transmission for virtual full-duplex (FD) relaying networks is proposed, which aims to mitigate error propagation effects and improve system…