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Soo-Chang Kim

dblp:72/4546 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 1 first-author

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 · 93% Network performance modeling · 7%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
beamforming
0.112009
Opportunistic cophasing transmission in MISO systems · IEEE Trans. Commun. 2009
Physical-layer communications
MIMO
0.112009
Opportunistic cophasing transmission in MISO systems · IEEE Trans. Commun. 2009
Physical-layer communications › multiple-antenna systems
MISO systems
0.112009
Opportunistic cophasing transmission in MISO systems · IEEE Trans. Commun. 2009
Physical-layer communications › beamforming › MIMO beamforming › multiuser beamforming
opportunistic beamforming
0.112009
Opportunistic cophasing transmission in MISO systems · IEEE Trans. Commun. 2009
Network performance modeling
throughput analysis
0.012009
Opportunistic cophasing transmission in MISO systems · IEEE Trans. Commun. 2009

Methods — techniques the papers use, named apart from their topics

monte carlo simulation · 0.1fourier matrix · 0.1
YearPublicationVenuePosition
2009 Opportunistic cophasing transmission in MISO systems
abstract
Different from the opportunistic beamforming system (OBS) randomizing both amplitude and phase of its beamforming vector/matrix, the opportunistic cophasing system (OCS) randomizes the phase only. It significantly reduces the demands on the dynamic range of power amplifiers and even can be implemented just by a set of phase shifters. We first address the single-beam OCS in terms of its analytical system throughput. Then, we design a multi-beam OCS by exploiting the Fourier matrix and finally, we derive its closed-form upper bound on throughput, which is very tight with the Monte Carlo simulation results.
Minghua Xia, Wenkun Wen, Soo-Chang Kim
IEEE Trans. Commun.3
2005 Mobile Tracking Using Fuzzy Multi-criteria Decision Making
Soo-Chang Kim, Jong Chan Lee, Yeon-Seung Shin, Kyoung-Rok Cho
MSN1