Demo Data from EDBT 2026 / reviewers in the wild / expert
Qian Zhao 0010
dblp:82/4299-10
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0000-8300-7600ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 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
1 paper |
Physical-layer communications · 30% Internet of things and sensor networks · 30% Vehicular, aerial and satellite networks · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
synchronization |
1.0 | 1 | 2026 | Robust Timing Synchronization in Vehicular Communication Systems via Sensing Information · IEEE Trans. Commun. 2026 |
Internet of things and sensor networks
time synchronization |
1.0 | 1 | 2026 | Robust Timing Synchronization in Vehicular Communication Systems via Sensing Information · IEEE Trans. Commun. 2026 |
Vehicular, aerial and satellite networks
vehicular networks |
1.0 | 1 | 2026 | Robust Timing Synchronization in Vehicular Communication Systems via Sensing Information · IEEE Trans. Commun. 2026 |
Cellular and mobile networks
integrated sensing and communication |
0.3 | 1 | 2026 | Robust Timing Synchronization in Vehicular Communication Systems via Sensing Information · IEEE Trans. Commun. 2026 |
Methods — techniques the papers use, named apart from their topics
iterative path identification · 1.0delay-doppler domain detection · 1.0correlation matching · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Robust Timing Synchronization in Vehicular Communication Systems via Sensing InformationabstractAs the frame synchronization of the physical layer signal processing, timing synchronization (TS) is crucial for signal demodulation in vehicular communication systems (VCSs). However, existing TS methods primary rely on known training sequence to identify the first-arriving path, facing significant challenges in the scenarios with prominent Doppler and multipath interfere. Inspired by integrated sensing and communication (ISAC) technology, a sensing-aided TS method is proposed to address these challenges in VCSs. In this method, a detection threshold in the delay-Doppler (DD) domain is designed to extract echo paths. Based on the echo paths, we perform correlation matching between the Doppler prior information and the received communication signal, thereby further refining the sensing prior information for TS. With the assistance of Doppler prior information, the correctness of TS is improved by rectifying the local training sequence to compensate for the Doppler frequency shift of the received communication signal. In addition, an iterative method is developed to identify the first-arriving path by eliminating the impacts of paths stronger than the first one. Simulation results demonstrate that the proposed method significantly reduces TS error probability and exhibits its robustness against parameter variations. Chaojin Qing, Yuxin Huang 0006, Qian Zhao 0010 |
IEEE Trans. Commun. | 3 |