Demo Data from EDBT 2026 / reviewers in the wild / expert
Hyeon Woong Kim
dblp:312/3801
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
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 · 72% Cellular and mobile networks · 28% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › beamforming
hybrid beamforming |
0.8 | 1 | 2024 | Rate Splitting-Based Hybrid Beamforming for Multi-User Downlink Cellular Networks · IEEE Trans. Commun. 2024 |
Cellular and mobile networks › downlink transmission
multiuser downlink |
0.8 | 1 | 2024 | Rate Splitting-Based Hybrid Beamforming for Multi-User Downlink Cellular Networks · IEEE Trans. Commun. 2024 |
Physical-layer communications › multiple access
rate splitting |
0.8 | 1 | 2024 | Rate Splitting-Based Hybrid Beamforming for Multi-User Downlink Cellular Networks · IEEE Trans. Commun. 2024 |
Physical-layer communications
beamforming |
0.2 | 1 | 2024 | Rate Splitting-Based Hybrid Beamforming for Multi-User Downlink Cellular Networks · IEEE Trans. Commun. 2024 |
Physical-layer communications
MIMO |
0.2 | 1 | 2024 | Rate Splitting-Based Hybrid Beamforming for Multi-User Downlink Cellular Networks · IEEE Trans. Commun. 2024 |
Methods — techniques the papers use, named apart from their topics
genetic algorithm · 0.8dirty paper coding · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Rate Splitting-Based Hybrid Beamforming for Multi-User Downlink Cellular NetworksabstractWe study a new rate splitting (RS)-based hybrid beamforming scheme for multi-user downlink cellular networks in which the base station having a hybrid beamforming structure serves multiple users each having conventional multiple antennas. To maximize the potential of RS, we propose a general RS-enabled hybrid beamforming framework that can be applied to both fully-connected and sub-array hybrid beamforming structures, allowing for the assignment of a flexible number of streams for each user. Our proposed RS method divides each stream into an arbitrary number of common and private sub-streams, where private sub-streams are only recoverable by a dedicated user, whereas common streams can be recovered by all users. We propose a low-complexity analog and digital beamforming design suitable for the proposed RS and optimize the number of allocated common and private sub-streams for all users through a low-complexity genetic algorithm to maximize the achievable sum rate or minimum rate over multiple users. Numerical results demonstrate that the proposed scheme achieves a near-optimal sum rate close to that of dirty paper coding with low computational complexity and outperforms the benchmark approaches without considering RS. Sung Ho Chae, Hyeon Woong Kim, Sang-Woon Jeon |
IEEE Trans. Commun. | 2 |