Demo Data from EDBT 2026 / reviewers in the wild / expert
Tiantian Qiao
dblp:145/2846
· DBLP profile ↗
3ranked-venue papers
3as first author
2since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 2 first-author · 2 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author
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 · 46% Network optimization and economics · 46% Internet of things and sensor networks · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network optimization and economics › resource allocation
joint optimization |
0.6 | 1 | 2022 | IRS-Aided Uplink Security Enhancement via Energy-Harvesting Jammer · IEEE Trans. Commun. 2022 |
Physical-layer communications
physical layer security |
0.6 | 1 | 2022 | IRS-Aided Uplink Security Enhancement via Energy-Harvesting Jammer · IEEE Trans. Commun. 2022 |
Network optimization and economics
resource allocation |
0.6 | 1 | 2022 | IRS-Aided Uplink Security Enhancement via Energy-Harvesting Jammer · IEEE Trans. Commun. 2022 |
Physical-layer communications › physical layer security
secrecy rate |
0.6 | 1 | 2022 | IRS-Aided Uplink Security Enhancement via Energy-Harvesting Jammer · IEEE Trans. Commun. 2022 |
Internet of things and sensor networks
energy harvesting |
0.2 | 1 | 2022 | IRS-Aided Uplink Security Enhancement via Energy-Harvesting Jammer · IEEE Trans. Commun. 2022 |
Methods — techniques the papers use, named apart from their topics
lagrange duality · 0.6alternating optimization · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Uplink Secure Communication via Intelligent Reflecting Surface and Energy-Harvesting JammerabstractIn this paper, we investigate the uplink secure communication by combining intelligent reflecting surface (IRS) and energy-harvesting (EH) jammer. Specifically, we propose an IRS-aided secure scheme for the uplink transmission via an EH jammer, to fight against the malicious eavesdropper. An energy transfer (ET) phase and an information transmission (IT) phase are proposed in this scheme. In the ET phase, we optimize the phase-shift matrix of IRS to maximize the harvested energy of jammer. In the IT phase, the phase-shift matrix of IRS and time switching factor are jointly optimized to maximize the secrecy rate. To tackle the non-convex problem, we first decompose it into two subproblems to solve by capitalizing on semi-definite relaxation (SDR) and Lagrange duality. Then, the solutions to the original problem can be obtained by alternately optimizing the two subproblems. Simulation results show that the proposed Jammer-IRS assisted secure transmission scheme can significantly enhance the uplink security. Tiantian Qiao, Yang Cao 0016, Jie Tang 0002, Nan Zhao 0001, Kai-Kit Wong |
GLOBECOM | 1 |
| 2022 | IRS-Aided Uplink Security Enhancement via Energy-Harvesting JammerabstractIn this paper, we investigate the security enhancement by combining intelligent reflecting surface (IRS) and energy harvesting (EH) jammer for the uplink transmission. Specifically, we propose an IRS-aided secure scheme for the uplink transmission via an EH jammer, to fight against the malicious eavesdropper. The proposed scheme can be divided into an energy transfer (ET) phase and an information transmission (IT) phase. In the first phase, the friendly EH jammer harvests energy from the base station (BS) aided by IRS. We maximize the harvested energy of jammer by obtaining the closed-form solution to the phase-shift matrix of IRS. In the second phase, the user transmits confidential information to the BS while the jamming is generated to confuse the eavesdropper without affecting the legitimate transmission. The phase-shift matrix of IRS and time switching factor are jointly optimized to maximize the secrecy rate. To tackle the non-convex problem, we first decompose it into two sub-problems. The one of IRS can be approximated to convex with fixed time switching factor. Then, the time switching factor can be solved by Lagrange duality. Thus, the solution to the original problem can be obtained by alternately optimizing these two sub-problems. Simulation results show that the proposed Jammer-IRS assisted secure transmission scheme can significantly enhance the uplink security. Tiantian Qiao, Yang Cao 0016, Jie Tang 0002, Nan Zhao 0001, Kai-Kit Wong |
IEEE Trans. Commun. | 1 |
| 2014 | A chaotic iterative algorithm based on linearized Bregman iteration for image deblurring
Tiantian Qiao, Boying Wu |
Inf. Sci. | 1 |