Demo Data from EDBT 2026 / reviewers in the wild / expert
Yan Zhang 0110
dblp:04/3348-110
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-2131-3626ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author · 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 · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
channel state information |
0.6 | 1 | 2022 | Reconfigurable Intelligent Surfaces With Outdated Channel State Information: Centralized vs. Distributed Deployments · IEEE Trans. Commun. 2022 |
Physical-layer communications › channel state information
outdated CSI |
0.6 | 1 | 2022 | Reconfigurable Intelligent Surfaces With Outdated Channel State Information: Centralized vs. Distributed Deployments · IEEE Trans. Commun. 2022 |
Physical-layer communications
reconfigurable intelligent surface |
0.6 | 1 | 2022 | Reconfigurable Intelligent Surfaces With Outdated Channel State Information: Centralized vs. Distributed Deployments · IEEE Trans. Commun. 2022 |
Physical-layer communications › information theory › capacity analysis
ergodic capacity |
0.2 | 1 | 2022 | Reconfigurable Intelligent Surfaces With Outdated Channel State Information: Centralized vs. Distributed Deployments · IEEE Trans. Commun. 2022 |
Physical-layer communications › radio propagation
near-field and far-field propagation |
0.2 | 1 | 2022 | Reconfigurable Intelligent Surfaces With Outdated Channel State Information: Centralized vs. Distributed Deployments · IEEE Trans. Commun. 2022 |
Methods — techniques the papers use, named apart from their topics
monte carlo simulation · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Reconfigurable Intelligent Surfaces With Outdated Channel State Information: Centralized vs. Distributed DeploymentsabstractIn this paper, we investigate the performance of an RIS-aided wireless communication system subject to outdated channel state information that may operate in both the near- and far-field regions. In particular, we take two RIS deployment strategies into consideration: (i) the centralized deployment, where all the reflecting elements are installed on a single RIS and (ii) the distributed deployment, where the same number of reflecting elements are placed on multiple RISs. For both deployment strategies, we derive accurate closed-form approximations for the ergodic capacity, and we introduce tight upper and lower bounds for the ergodic capacity to obtain useful design insights. From this analysis, we unveil that an increase of the transmit power, the Rician-$K$factor, the accuracy of the channel state information and the number of reflecting elements help improve the system performance. Moreover, we prove that the centralized RIS-aided deployment may achieve a higher ergodic capacity as compared with the distributed RIS-aided deployment when the RIS is located near the base station or near the user. In different setups, on the other hand, we prove that the distributed deployment outperforms the centralized deployment. Finally, the analytical results are verified by using Monte Carlo simulations. Yan Zhang 0110, Jiayi Zhang 0001, Marco Di Renzo, Huahua Xiao, Bo Ai 0001 |
IEEE Trans. Commun. | 1 |