activity
20172025
most citedScalable massively parallel computing using continuous-time data representation in nanoscale crossbar array

101 citations · 314 across the 39 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

eess.SY2020★ 10 cited

Two New Approaches to Optical IRSs: Schemes and Comparative Analysis

Haibo Wang, Zaichen Zhang, Bingcheng Zhu +2

Oriented to the point-to-multipoint free space optical communication (FSO) scenarios, this paper analyzes the micro-mirror array and phased array-type optical intelligent reflectin…

cs.IT2020

Transmit Covariance and Waveform Optimization for Non-orthogonal CP-FBMA System

Yuhao Qi, Jian Dang, Zaichen Zhang +2

Filter bank multiple access (FBMA) without subbands orthogonality has been proposed as a new candidate waveform to better meet the requirements of future wireless communication sys…

eess.SP2020★ 8 cited

Acquisition of Channel State Information for mmWave Massive MIMO: Traditional and Machine Learning-based Approaches

Chenhao Qi, Peihao Dong, Wenyan Ma +3

The accuracy of channel state information (CSI) acquisition directly affects the performance of millimeter wave (mmWave) communications. In this article, we provide an overview on…

eess.SP2020

Tracking System for Optical Mobile Communication and the Design Rules

Kehan Zhang, Bingcheng Zhu, Zaichen Zhang +1

Free space optical communication has been applied in many scenarios because of its security, low cost and high rates. In such scenarios, a tracking system is necessary to ensure an…

cs.IT2020

Joint User Identification and Channel Estimation Over Rician Fading Channels

Liang Wu, Zaichen Zhang, Jian Dang +3

This paper considers crowded massive multiple input multiple output (MIMO) communications over a Rician fading channel, where the number of users is much greater than the number of…

eess.SP2020★ 9 cited

Sparse Channel Estimation and Hybrid Precoding Using Deep Learning for Millimeter Wave Massive MIMO

Wenyan Ma, Chenhao Qi, Zaichen Zhang +1

Channel estimation and hybrid precoding are considered for multi-user millimeter wave massive multi-input multi-output system. A deep learning compressed sensing (DLCS) channel est…