Demo Data from EDBT 2026 / reviewers in the wild / expert
Yongxi Liu
dblp:288/0319
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2024
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 1 first-author · 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
1 paper |
Physical-layer communications · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
channel modeling |
0.8 | 1 | 2024 | Densifying MIMO: Channel Modeling, Physical Constraints, and Performance Evaluation for Holographic Communications · IEEE J. Sel. Areas Commun. 2024 |
Physical-layer communications
MIMO |
0.8 | 1 | 2024 | Densifying MIMO: Channel Modeling, Physical Constraints, and Performance Evaluation for Holographic Communications · IEEE J. Sel. Areas Commun. 2024 |
Physical-layer communications › antenna arrays
antenna array design |
0.2 | 1 | 2024 | Densifying MIMO: Channel Modeling, Physical Constraints, and Performance Evaluation for Holographic Communications · IEEE J. Sel. Areas Commun. 2024 |
Physical-layer communications › antenna arrays
large antenna arrays |
0.2 | 1 | 2024 | Densifying MIMO: Channel Modeling, Physical Constraints, and Performance Evaluation for Holographic Communications · IEEE J. Sel. Areas Commun. 2024 |
Methods — techniques the papers use, named apart from their topics
mutual coupling analysis · 0.8depolarization modeling · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Densifying MIMO: Channel Modeling, Physical Constraints, and Performance Evaluation for Holographic CommunicationsabstractAs the backbone of the fifth-generation (5G) cellular network, massive multiple-input multiple-output (MIMO) encounters a significant challenge in practical applications: how to deploy a large number of antenna elements within limited spaces. Recently, holographic communication has emerged as a potential solution to this issue. It employs dense antenna arrays and provides a tractable model. Nevertheless, some challenges must be addressed to actualize this innovative concept. One is the mutual coupling among antenna elements within an array. When the element spacing is small, near-field coupling becomes the dominant factor that strongly restricts the array performance. Another is the polarization of electromagnetic waves. As an intrinsic property, it was not fully considered in the previous channel modeling of holographic communication. The third is the lack of real-world experiments to show the potential and possible defects of a holographic communication system. In this paper, we propose an electromagnetic channel model based on the characteristics of electromagnetic waves. This model encompasses the impact of mutual coupling in the transceiver sides and the depolarization in the propagation environment. Furthermore, by approximating an infinite array, the performance restrictions of large-scale dense antenna arrays are also studied theoretically to exploit the potential of the proposed channel. In addition, numerical simulations and a channel measurement experiment are conducted. The findings reveal that within limited spaces, the coupling effect, particularly for element spacing smaller than half of the wavelength, is the primary factor leading to the inflection point for the performance of holographic communications. Yongxi Liu, Ming Zhang 0010, Tengjiao Wang 0001, Anxue Zhang, Mérouane Debbah |
IEEE J. Sel. Areas Commun. | 1 |
| 2023 | Channel Measurement for Holographic MIMO: Benefits and Challenges of Spatial OversamplingabstractIn this paper, the channel of an indoor holographic multiple-input multiple-output (MIMO) system is measured. It is demonstrated through experiments for the first time that the spatial oversampling of holographic MIMO systems is able to increase the capacity of a wireless communication system significantly. However, the antenna efficiency is the most crucial challenge preventing us from getting the capacity improvement. An extended EM-compliant channel model is also proposed for holographic MIMO systems, which is able to take the non-isotropic characteristics of the propagation environment, the antenna pattern distortion, the antenna efficiency, and the polarization characteristics into consideration. Tengjiao Wang 0001, Yongxi Liu, Ming Zhang 0010, Wei E. I. Sha, Cen Ling, Chao Li 0077, Shaobo Wang 0002 |
ICC | 2 |