Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Yuechun Jiao

dblp:358/8918 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
2since 2021 · last 2025
0000-0002-8036-1062ORCID · corroborated

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

Computer networks · 2 · 2 since 2021

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.

Computer networks
2 papers
Wireless sensing and localization · 75% Physical-layer communications · 18% Cellular and mobile networks · 7%
Theoretical computer science
1 paper
Quantum computing and quantum information · 100%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization
angle estimation
0.912025
Multi-Antenna Quantum Receiver: A Leap Beyond Angle Estimation Constraints · MobiCom 2025
Wireless sensing and localization
RF sensing
0.712023
Quantum Wireless Sensing: Principle, Design and Implementation · MobiCom 2023
Physical-layer communications
antenna arrays
0.312025
Multi-Antenna Quantum Receiver: A Leap Beyond Angle Estimation Constraints · MobiCom 2025
Physical-layer communications
multiple-antenna systems
0.312025
Multi-Antenna Quantum Receiver: A Leap Beyond Angle Estimation Constraints · MobiCom 2025
Cellular and mobile networks
millimeter-wave communication
0.212023
Quantum Wireless Sensing: Principle, Design and Implementation · MobiCom 2023

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

virtual antenna generation · 1.7quantum receiver · 1.7quantum sensing · 0.7atomic energy levels · 0.7
YearPublicationVenuePosition
2025 Multi-Antenna Quantum Receiver: A Leap Beyond Angle Estimation Constraints
abstract
Beyond communication, wireless signals have been extensively utilized for localization, tracking, and sensing in recent years. The key information extracted for these purposes includes distance and angle. While distance measurement accuracy is mainly limited by signal bandwidth, angle accuracy depends on the number of antennas and phase noise. Conventional approaches typically improve angle estimation by boosting signal strength and increasing the number of antennas. In this paper, we propose employing a quantum receiver to substantially improve angle estimation performance. Rather than amplifying signal strength, the quantum receiver reduces the inherent hardware noise. Furthermore, we exploit the unique properties of a quantum RF receiver to construct a multi-antenna quantum system. Using only two physical quantum antennas, we generate virtual antennas by leveraging the receiver's broad frequency range, effectively increasing the number of antennas and significantly improving angle measurement performance. Our experimental results demonstrate that, with only two quantum antennas, we achieve angle estimation performance surpassing that of a conventional RF receiver equipped with 40 antennas. Furthermore, quantum antennas are not constrained by the coupling effects that typically limit the spacing between conventional RF antennas, allowing for much closer placement. This represents a significant step toward reducing the size of antenna arrays while preserving localization and tracking performance.
Zhaodian He, Fusang Zhang, Junqi Ma 0002, Yuqi Su, Beihong Jin, Daqing Zhang 0001, Yuechun Jiao, Lili Qiu, Jie Xiong 0001
MobiCom7
2023 Quantum Wireless Sensing: Principle, Design and Implementation
abstract
Recent years have witnessed a tremendous amount of interest in wireless sensing, i.e., instead of employing traditional sensors, wireless signal is utilized for sensing purposes. Contact-free wireless sensing has been successfully demonstrated using various RF signals such as WiFi, RFID, LoRa, and mmWave, enabling a large range of applications. However, limited by hardware thermal noise, the granularity of RF sensing is still relatively coarse. In this paper, instead of using the macro signal power/phase for sensing, we propose the first quantum wireless sensing system, which uses the micro energy level of atoms for sensing, improving the sensing granularity by an order of magnitude. The proposed quantum wireless sensing system is capable of utilizing a wide spectrum of frequencies (e.g., 2.4 GHz, 5 GHz and 28 GHz) for sensing. We demonstrate the superior performance of quantum wireless sensing with two widely-used signals, i.e., WiFi and 28 GHz millimeter wave. We show that quantum wireless sensing can push the sensing granularity of WiFi from millimeter level to sub-millimeter level and push the sensing granularity of millimeter wave to micrometer level.
Fusang Zhang, Beihong Jin, Zitong Lan, Zhaoxin Chang 0001, Daqing Zhang 0001, Yuechun Jiao, Meng Shi, Jie Xiong 0001
MobiCom6