413 citations · 1.3k across the 105 of their papers we have counts for
11 papers · 2 filters
Polar Decoding on Sparse Graphs with Deep Learning
Weihong Xu, Xiaohu You, Chuan Zhang +1
In this paper, we present a sparse neural network decoder (SNND) of polar codes based on belief propagation (BP) and deep learning. At first, the conventional factor graph of polar…
Low Complexity Iterative Detection for a Large-scale Distributed MIMO Prototyping System
Yuan Feng, Menghan Wang, Dongming Wang +1
In this paper, we study the low-complexity iterative soft-input soft-output (SISO) detection algorithm in a large-scale distributed multiple-input multiple-output (MIMO) system. Th…
Wideband mmWave Channel Estimation for Hybrid Massive MIMO with Low-Precision ADCs
Yucheng Wang, Wei Xu, Hua Zhang +1
In this article, we investigate channel estimation for wideband millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) under hybrid architecture with lowprecision a…
AI for 5G: Research Directions and Paradigms
Xiaohu You, Chuan Zhang, Xiaosi Tan +2
The 5th wireless communication (5G) techniques not only fulfil the requirement of times increase of internet traffic in the next decade, but also offer the underlying techn…
Joint Neural Network Equalizer and Decoder
Weihong Xu, Zhiwei Zhong, Yair Be'ery +2
Recently, deep learning methods have shown significant improvements in communication systems. In this paper, we study the equalization problem over the nonlinear channel using neur…
Efficient Channel Estimator with Angle-Division Multiple Access
Xiaozhen Liu, Jin Sha, Hongxiang Xie +5
Massive multiple-input multiple-output (M-MIMO) is an enabling technology of 5G wireless communication. The performance of an M-MIMO system is highly dependent on the speed and acc…
Efficient Soft-Output Gauss-Seidel Data Detector for Massive MIMO Systems
Chuan Zhang, Zhizhen Wu, Christoph Studer +2
For massive multiple-input multiple-output (MIMO) systems, linear minimum mean-square error (MMSE) detection has been shown to achieve near-optimal performance but suffers from exc…
Improving Massive MIMO Belief Propagation Detector with Deep Neural Network
Xiaosi Tan, Weihong Xu, Yair Be'ery +3
In this paper, deep neural network (DNN) is utilized to improve the belief propagation (BP) detection for massive multiple-input multiple-output (MIMO) systems. A neural network ar…
Segmented Successive Cancellation List Polar Decoding with Tailored CRC
Huayi Zhou, Xiao Liang, Liping Li +3
As the first error correction codes provably achieving the symmetric capacity of binary-input discrete memory-less channels (B-DMCs), polar codes have been recently chosen by 3GPP…
On the Low-Complexity, Hardware-Friendly Tridiagonal Matrix Inversion for Correlated Massive MIMO Systems
Chuan Zhang, Xiao Liang, Zhizhen Wu +4
In massive MIMO (M-MIMO) systems, one of the key challenges in the implementation is the large-scale matrix inversion operation, as widely used in channel estimation, equalization,…
Residual-Based Detections and Unified Architecture for Massive MIMO Uplink
Chuan Zhang, Yufeng Yang, Shunqing Zhang +2
Massive multiple-input multiple-output (M-MIMO) technique brings better energy efficiency and coverage but higher computational complexity than small-scale MIMO. For linear detecti…