activity
20112023
most citedScalable massively parallel computing using continuous-time data representation in nanoscale crossbar array

101 citations · 201 across the 28 of their papers we have counts for

collaborators
Showing 2018Show all

14 papers · 1 filter

eess.SP2018

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…

eess.SP2018★ 16 cited

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…

eess.SP2018★ 5 cited

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…

cs.ET2018★ 1 cited

DNA Computing for Combinational Logic

Chuan Zhang, Lulu Ge, Yuchen Zhuang +4

With the progressive scale-down of semiconductor's feature size, people are looking forward to More Moore and More than Moore. In order to offer a possible alternative implementati…

eess.SP2018★ 1 cited

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…

eess.SP2018

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…

eess.SP2018★ 36 cited

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…

cs.IT2018★ 4 cited

Efficient Sparse Code Multiple Access Decoder Based on Deterministic Message Passing Algorithm

Chuan Zhang, Chao Yang, Wei Xu +3

Being an effective non-orthogonal multiple access (NOMA) technique, sparse code multiple access (SCMA) is promising for future wireless communication. Compared with orthogonal tech…

eess.SP2018★ 1 cited

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…

eess.SP2018★ 1 cited

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,…

eess.SP2018

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…

q-bio.MN2018

Molecular Computing for Markov Chains

Chuan Zhang, Ziyuan Shen, Wei Wei +3

In this paper, it is presented a methodology for implementing arbitrarily constructed time-homogenous Markov chains with biochemical systems. Not only discrete but also continuous-…

cs.AR2018★ 2 cited

Polar-Coded Forward Error Correction for MLC NAND Flash Memory Polar FEC for NAND Flash Memory

Haochuan Song, Frankie Fu, Cloud Zeng +4

With the ever-growing storage density, high-speed, and low-cost data access, flash memory has inevitably become popular. Multi-level cell (MLC) NAND flash memory, which can well ba…

cs.AR2018

Auto-Generation of Pipelined Hardware Designs for Polar Encoder

Zhiwei Zhong, Xiaohu You, Chuan Zhang

This paper presents a general framework for auto-generation of pipelined polar encoder architectures. The proposed framework could be well represented by a general formula. Given a…