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

30 papers

eess.SP2023

On the Road to 6G: Visions, Requirements, Key Technologies and Testbeds

Cheng-Xiang Wang, Xiaohu You, Xiqi Gao +16

Fifth generation (5G) mobile communication systems have entered the stage of commercial development, providing users with new services and improved user experiences as well as offe…

cs.AR2022★ 20 cited

Automatic Hybrid-Precision Quantization for MIMO Detectors

Yingmeng Ge, Zhenhao Ji, Yongming Huang +3

In the design of wireless systems, quantization plays a critical role in hardware, which directly affects both area efficiency and energy efficiency. Being an enabling technique, t…

cs.NI2022★ 3 cited

Toward 6G TK Extreme Connectivity: Architecture, Key Technologies and Experiments

Xiaohu You, Yongming Huang, Shengheng Liu +20

Sixth-generation (6G) networks are evolving towards new features and order-of-magnitude enhancement of systematic performance metrics compared to the current 5G. In particular, the…

cs.IT2022

Belief-selective Propagation Detection for MIMO Systems

Wenyue Zhou, Yifei Shen, Liping Li +3

Compared to the linear MIMO detectors, the Belief Propagation (BP) detector has shown greater capabilities in achieving near optimal performance and better nature to iteratively co…

cs.IT2022

A New High Energy Efficiency Scheme Based on Two-Dimension Resource Blocks in Wireless Communication Systems

Kang Liu, Zaichen Zhang, Jian Dang +4

Energy efficiency (EE) plays a key role in future wireless communication network and it is easily to achieve high EE performance in low SNR regime. In this paper, a new high EE sch…

cs.IT2022★ 3 cited

Spatiotemporal 2-D Channel Coding for Very Low Latency Reliable MIMO Transmission

Xiaohu You, Chuan Zhang, Bin Sheng +5

To fully support vertical industries, 5G and its corresponding channel coding are expected to meet requirements of different applications. However, for applications of 5G and beyon…

cs.IT2021

Soft-Output Joint Channel Estimation and Data Detection using Deep Unfolding

Haochuan Song, Xiaohu You, Chuan Zhang +1

We propose a novel soft-output joint channel estimation and data detection (JED) algorithm for multiuser (MU) multiple-input multiple-output (MIMO) wireless communication systems.…

cs.IT2021

Joint Channel Estimation and Data Detection in Cell-Free Massive MU-MIMO Systems

Haochuan Song, Tom Goldstein, Xiaohu You +3

We propose a joint channel estimation and data detection (JED) algorithm for densely-populated cell-free massive multiuser (MU) multiple-input multiple-output (MIMO) systems, which…

cond-mat.mtrl-sci2021★ 101 cited

Scalable massively parallel computing using continuous-time data representation in nanoscale crossbar array

Cong Wang, Shi-Jun Liang, Chen-Yu Wang +10

The growth of connected intelligent devices in the Internet of Things has created a pressing need for real-time processing and understanding of large volumes of analogue data. The…

cs.IT2019

Polar Codes with Memory

Wenyue Zhou, Qiang Liu, Yifei Shen +4

Polar codes with memory (PCM) are proposed in this paper: a pair of consecutive code blocks containing a controlled number of mutual information bits. The shared mutual information…

eess.SP2019

Molecular Polar Belief Propagation Decoder and Successive Cancellation Decoder

Zhiwei Zhong, Lulu Ge, Zaichen Zhang +2

By constructing chemical reaction networks (CRNs), this paper proposes a method of synthesizing polar decoder using belief propagation (BP) algorithm and successive cancellation (S…

cs.IT2019★ 2 cited

A General Construction and Encoder Implementation of Polar Codes

Wei Song, Yifei Shen, Liping Li +2

Similar to existing codes, puncturing and shortening are two general ways to obtain an arbitrary code length and code rate for polar codes. When some of the coded bits are puncture…

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-…