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Shutong Qi

dblp:255/4738 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0002-6270-931XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 44% Personal fabrication and tangible interfaces · 44% Wearable and physiological sensing · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Personal fabrication and tangible interfaces › smart textiles
textile interfaces
0.412020
Fabriccio: Touchless Gestural Input on Interactive Fabrics · CHI 2020
Interaction techniques and input
touchless interaction
0.412020
Fabriccio: Touchless Gestural Input on Interactive Fabrics · CHI 2020
Wearable and physiological sensing
textile sensors
0.112020
Fabriccio: Touchless Gestural Input on Interactive Fabrics · CHI 2020

Methods — techniques the papers use, named apart from their topics

doppler motion sensing · 0.4conductive thread antennas · 0.4
YearPublicationVenuePosition
2020 Fabriccio: Touchless Gestural Input on Interactive Fabrics
abstract
We present Fabriccio, a touchless gesture sensing technique developed for interactive fabrics using Doppler motion sensing. Our prototype was developed using a pair of loop antennas (one for transmitting and the other for receiving), made of conductive thread that was sewn onto a fabric substrate. The antenna type, configuration, transmission lines, and operating frequency were carefully chosen to balance the complexity of the fabrication process and the sensitivity of our system for touchless hand gestures, performed at a 10 cm distance. Through a ten-participant study, we evaluated the performance of our proposed sensing technique across 11 touchless gestures as well as 1 touch gesture. The study result yielded a 92.8% cross-validation accuracy and 85.2% leave-one-session-out accuracy. We conclude by presenting several applications to demonstrate the unique interactions enabled by our technique on soft objects.
Te-Yen Wu, Shutong Qi, Junchi Chen, MuJie Shang, Jun Gong 0002, Teddy Seyed, Xing-Dong Yang
CHI2
2020 Joint Power and Feedback Design for Multi-Antenna NOMA Systems with Limited Feedback
abstract
This paper proposes a multiple-antenna non-orthogonal multiple access scheme including channel state information (CSI) quantization and feedback, user clustering, signal superposition coding, transmit beamforming, and successive interference cancellation at receivers under a general limited CSI feedback framework for frequency duplex division systems. Given a combination of system parameters, we conduct a mathematically strict performance analysis of the considered system, and obtain a closed-form lower bound on the ergodic rate of each user without assuming any extreme for system parameters, which has never been obtained before. Then, we jointly optimize two key parameters, i.e., transmit power and the number of feedback bits allocated to each user, and propose low-complexity closed-form solutions. Finally, numerical results are presented to verify our theoretical results and to illustrate the advantages in accuracy and performance over some existing related results under practical conditions.
Liang Sun 0007, Yong Feng 0004, Shutong Qi
ICC5
2020 Reconsidering Design of Multi-Antenna NOMA Systems With Limited Feedback
abstract
We provide in this paper a comprehensive solution to the design, performance analysis, and optimization of a multi-antenna non-orthogonal multiple access (NOMA) system for multiuser downlink communications under a general limited channel state information (CSI) feedback framework for frequency division duplex mode. We design a general framework including user clustering, joint power and bits allocation, CSI quantization and feedback, signal superposition coding, transmit beamforming, and successive interference cancellation at receivers. Then, we conduct a mathematically strict performance analysis of the considered system, and obtain a closed-form lower bound on the ergodic rate of each user in terms of transmit power, CSI quantization accuracy and channel conditions. For exploiting the potentials of multiple-antenna techniques in NOMA systems, we jointly optimize two key parameters, i.e., transmit power and the number of feedback bits allocated to each user, and propose low-complexity closed-form solutions. Moreover, through asymptotic analysis, we reveal the interactions between the main system parameters and their impacts on the joint power and feedback bits allocation result, and hence show some guidelines on the system design. Finally, numerical results validate the correctness of our theoretical analysis and demonstrate the advantages of the proposed algorithms over the most related state of the art.
Liang Sun 0007, Shutong Qi, Yong Feng 0004
IEEE Trans. Wirel. Commun.4