444 citations · 1.7k across the 86 of their papers we have counts for
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Structured Turbo Compressed Sensing for Downlink Massive MIMO-OFDM Channel Estimation
Xiaoyan Kuai, Lei Chen, Xiaojun Yuan +1
Compressed sensing has been employed to reduce the pilot overhead for channel estimation in wireless communication systems. Particularly, structured turbo compressed sensing (STCS)…
Super-Resolution Blind Channel-and-Signal Estimation for Massive MIMO with One-Dimensional Antenna Array
Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang
In this paper, we study blind channel-and-signal estimation by exploiting the burst-sparse structure of angular-domain propagation channels in massive MIMO systems. The state-of-th…
CNN-Based Signal Detection for Banded Linear Systems
Congmin Fan, Xiaojun Yuan, Ying-Jun Angela Zhang
Banded linear systems arise in many communication scenarios, e.g., those involving inter-carrier interference and inter-symbol interference. Motivated by recent advances in deep le…
Machine Learning for Heterogeneous Ultra-Dense Networks with Graphical Representations
Congmin Fan, Ying-Jun Angela Zhang, Xiaojun Yuan
Heterogeneous ultra-dense network (H-UDN) is envisioned as a promising solution to sustain the explosive mobile traffic demand through network densification. By placing access poin…
Sparsity Learning Based Multiuser Detection in Grant-Free Massive-Device Multiple Access
Tian Ding, Xiaojun Yuan, Soung Chang Liew
In this work, we study the multiuser detection (MUD) problem for a grant-free massive-device multiple access (MaDMA) system, where a large number of single-antenna user devices tra…
TARM: A Turbo-type Algorithm for Affine Rank Minimization
Zhipeng Xue, Xiaojun Yuan, Junjie Ma +1
The affine rank minimization (ARM) problem arises in many real-world applications. The goal is to recover a low-rank matrix from a small amount of noisy affine measurements. The or…