Songyan Xue

Unsupervised Deep Learning for MU-SIMO Joint Transmitter and Noncoherent Receiver Design

Songyan Xue, Yi Ma, Na Yi et al. · IEEE Wireless Communications Letters · 2018 · 50 citations

Mimo System, Engineering, Machine Learning +12

A Non-Stationary Channel Model with Correlated NLoS/LoS States for ELAA-mMIMO

Jiuyu Liu, Yi Ma, Jinfei Wang et al. · 2021 IEEE Global Communications Conference (GLOBECOM) · 2021 · 22 citations · Full text

Channel Modeling, Elaa-mmimo Channel Capacity, Conventional Mmimo +14

A Carrier-Frequency-Offset Resilient OFDMA Receiver Designed Through Machine Deep Learning

Ang Li, Yi Me, Songyan Xue et al. · 2018 · 18 citations

Wireless Communications, Multi-carrier Communication, Engineering +12

End-to-End Learning for Uplink MU-SIMO Joint Transmitter and Non-Coherent Receiver Design in Fading Channels

Songyan Xue, Yi Ma, Na Yi · IEEE Transactions on Wireless Communications · 2021 · 16 citations

Engineering, Multi-user Detection, Channel Capacity Estimation +14

On Unsupervised Deep Learning Solutions for Coherent MU-SIMO Detection in Fading Channels

Songyan Xue, Yi Ma, Ang Li et al. · 2019 · 12 citations

Deep Learning Solutions, Machine Learning, Engineering +12