most citedTri-Polarized Holographic MIMO Surface in Near-Field: Channel Modeling and Precoding Design

8 citations · 25 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG20227 cited

Digital Twin for Real-time Li-ion Battery State of Health Estimation with Partially Discharged Cycling Data

Yan Qin, Anushiya Arunan, Chau Yuen

To meet the fairly high safety and reliability requirements in practice, the state of health (SOH) estimation of Lithium-ion batteries (LIBs), which has a close relationship with t…

cs.IT20226 cited

Codebook-Based Solutions for Reconfigurable Intelligent Surfaces and Their Open Challenges

Jiancheng An, Chao Xu, Qingqing Wu +4

Reconfigurable intelligent surfaces (RIS) is a revolutionary technology to cost-effectively improve the performance of wireless networks. We first review the existing framework of…

cs.IT20228 cited

Tri-Polarized Holographic MIMO Surface in Near-Field: Channel Modeling and Precoding Design

Li Wei, Chongwen Huang, George C. Alexandropoulos +6

This paper investigates the utilization of triple polarization (TP) for multi-user (MU) holographic multiple-input multi-output surface (HMIMOS) wireless communication systems, tar…

eess.SP20224 cited

Deep Learning-Based Channel Estimation for Double-RIS Aided Massive MIMO System

Mengbing Liu, Xin Li, Boyu Ning +3

Reconfigurable Intelligent Surface (RIS) is considered as an energy-efficient solution for future wireless communication networks due to its fast and low-cost configuration. In thi…

cs.LG2022

A Hybrid Deep Learning Model-based Remaining Useful Life Estimation for Reed Relay with Degradation Pattern Clustering

Chinthaka Gamanayake, Yan Qin, Chau Yuen +3

Reed relay serves as the fundamental component of functional testing, which closely relates to the successful quality inspection of electronics. To provide accurate remaining usefu…

cs.LG2022

Slow-varying Dynamics Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation

Yan Qin, Chau Yuen, Yimin Shao +2

Capsule network (CapsNet) acts as a promising alternative to the typical convolutional neural network, which is the dominant network to develop the remaining useful life (RUL) esti…