Demo Data from EDBT 2026 / reviewers in the wild / expert
Hyun Woo Jeong
dblp:179/0123
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
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 · 67% Cellular and mobile networks · 33% | |
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cellular and mobile networks
device-to-device communication |
0.2 | 1 | 2016 | Distributed Bargaining Strategy for Downlink Virtual MIMO With Device-to-Device Communication · IEEE Trans. Commun. 2016 |
Physical-layer communications
MIMO |
0.2 | 1 | 2016 | Distributed Bargaining Strategy for Downlink Virtual MIMO With Device-to-Device Communication · IEEE Trans. Commun. 2016 |
Physical-layer communications › MIMO › distributed MIMO
virtual MIMO |
0.2 | 1 | 2016 | Distributed Bargaining Strategy for Downlink Virtual MIMO With Device-to-Device Communication · IEEE Trans. Commun. 2016 |
Algorithmic game theory and mechanism design › cooperative game theory
bargaining |
0.2 | 1 | 2016 | Distributed Bargaining Strategy for Downlink Virtual MIMO With Device-to-Device Communication · IEEE Trans. Commun. 2016 |
Methods — techniques the papers use, named apart from their topics
message passing · 0.5distributed algorithm · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Distributed Bargaining Strategy for Downlink Virtual MIMO With Device-to-Device CommunicationabstractThis letter considers the downlink of a cellular network with an asymmetric antenna configuration, where virtual multiple-input multiple-output (MIMO) is formed with receive cooperation over out-of-band or in-band overlay device-to-device (D2D) links. The objective of this work is to determine the best pairing and resource sharing configuration of the cooperative devices such that the overall network utility is optimized and the devices achieve their best available rate larger than that without D2D cooperation. A distributed algorithm is developed via an algorithmic-game-theoretic message-passing framework to obtain a solution at a low computational cost and without reporting the D2D link qualities to the base station. We show that the algorithm converges to an optimal point through analysis and its performance is validated by simulation. In addition, the virtual MIMO network enabled by the D2D receive cooperation is shown to provide a significant gain over the network without the D2D receive cooperation. Dong Ryul Shin, Hyun Woo Jeong, Yun Hee Kim |
IEEE Trans. Commun. | 3 |