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Hyun Woo Jeong

dblp:179/0123 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Cellular and mobile networks
device-to-device communication
0.212016
Distributed Bargaining Strategy for Downlink Virtual MIMO With Device-to-Device Communication · IEEE Trans. Commun. 2016
Physical-layer communications
MIMO
0.212016
Distributed Bargaining Strategy for Downlink Virtual MIMO With Device-to-Device Communication · IEEE Trans. Commun. 2016
Physical-layer communications › MIMO › distributed MIMO
virtual MIMO
0.212016
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
0.212016
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
YearPublicationVenuePosition
2016 Distributed Bargaining Strategy for Downlink Virtual MIMO With Device-to-Device Communication
abstract
This 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