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Y. Sung

38 papers hereh-index 302.6k citations128 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author12
  • last author18

Across the 38 of 38 papers where every author was matched, so the position is known.

fields
  • cs.IT28
  • cs.LG8
  • cs.MA1
  • cs.NI1
same name
  • Y. Sung — 3 papers, h 94
  • Y. Sung — 3 papers, h 2
  • Y. Sung — 2 papers, h 45
  • Y. Sung — 1 paper, h 47
  • Y. Sung — 1 paper, h 1
  • Y. Sung — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20052021
most citedPilot Beam Pattern Design for Channel Estimation in Massive MIMO Systems

233 citations · 785 across the 38 of their papers we have counts for

collaborators
Showing 2008Show all

3 papers · 1 filter

cs.IT2008★ 5 cited

Optimal Node Density for Two-Dimensional Sensor Arrays

Youngchul Sung, H. Vincent Poor, Heejung Yu

The problem of optimal node density for ad hoc sensor networks deployed for making inferences about two dimensional correlated random fields is considered. Using a symmetric first…

cs.IT2008★ 4 cited

Information, Energy and Density for Ad Hoc Sensor Networks over Correlated Random Fields: Large Deviations Analysis

Youngchul Sung, H. Vincent Poor, Heejung Yu

Using large deviations results that characterize the amount of information per node on a two-dimensional (2-D) lattice, asymptotic behavior of a sensor network deployed over a corr…

cs.IT2008★ 3 cited

Large Deviations Analysis for the Detection of 2D Hidden Gauss-Markov Random Fields Using Sensor Networks

Youngchul Sung, H. Vincent Poor, Heejung Yu

The detection of hidden two-dimensional Gauss-Markov random fields using sensor networks is considered. Under a conditional autoregressive model, the error exponent for the Neyman-…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.