Songyan Xue

According to our database, Songyan Xue authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Active Sensing for Beam Management: A Deep-Learning Approach.

Hongzhi Chen, Lifu Liu, Songyan Xue, Yan Sun, Jiyong Pang

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Exploiting Channel Sparsity in Massive MIMO Blind Signal Detection via ℓ2-ℓ1 Optimization Over the Stiefel Manifold.

Yuchen Feng, Ying Zhang, Fan Fei, Jin Wu, Yixin Wu, Songyan Xue, Jinyan Fan

Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

2021

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 Trans. Wirel. Commun., 2021

On the Design of Quantization Functions for Uplink Massive MIMO with Low-Resolution ADCs.

Lifu Liu, Songyan Xue, Yi Ma, Na Yi, Rahim Tafazolli

Proceedings of the 93rd IEEE Vehicular Technology Conference, 2021

Exploring Extended Reality with Flexible Spectrum Access in Wireless Cellular Network.

Yu Gao, Songyan Xue, Mengying Ding, Jinlin Peng, Jiyong Pang

Proceedings of the 32nd IEEE Annual International Symposium on Personal, 2021

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

Jiuyu Liu, Yi Ma, Jinfei Wang, Na Yi, Rahim Tafazolli, Songyan Xue, Fan Wang

Proceedings of the IEEE Global Communications Conference, 2021

2020

A Modular Neural Network Based Deep Learning Approach for MIMO Signal Detection.

Songyan Xue, Yi Ma, Na Yi, Terence E. Dodgson

CoRR, 2020

On Deep Learning Solutions for Joint Transmitter and Noncoherent Receiver Design in MU-MIMO Systems.

Songyan Xue, Yi Ma, Na Yi, Rahim Tafazolli

Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

An Orthogonal-SGD Based Learning Approach for MIMO Detection under Multiple Channel Models.

Songyan Xue, Yi Ma, Rahim Tafazolli

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

2019

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

Songyan Xue, Yi Ma, Na Yi, Rahim Tafazolli

IEEE Wirel. Commun. Lett., 2019

Parallel Decoding for Non-recursive Convolutional Codes and Its Enhancement Through Artificial Neural Networks.

Jinfei Wang, Yi Ma, Songyan Xue, Na Yi, Rahim Tafazolli, Terence E. Dodgson

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

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

Songyan Xue, Yi Ma, Ang Li, Na Yi, Rahim Tafazolli

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Unsupervised Deep Learning for Blind Multiuser Frequency Synchronization in OFDMA Uplink.

Ang Li, Yi Ma, Songyan Xue, Na Yi, Rahim Tafazolli, Terence E. Dodgson

Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018

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

Ang Li, Yi Ma, Songyan Xue, Na Yi, Rahim Tafazolli

Proceedings of the 29th IEEE Annual International Symposium on Personal, 2018