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Seongkyu Jung

dblp:412/8995 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2026
0009-0009-7238-1053ORCID · corroborated

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

Computer networks · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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 · 50% Cellular and mobile networks · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks
integrated sensing and communication
1.012026
The MIMO-ME-MS Channel: Analysis and Algorithm for Secure MIMO Integrated Sensing and Communications · IEEE J. Sel. Areas Commun. 2026
Physical-layer communications
MIMO
1.012026
The MIMO-ME-MS Channel: Analysis and Algorithm for Secure MIMO Integrated Sensing and Communications · IEEE J. Sel. Areas Commun. 2026
Physical-layer communications › MIMO
precoder design
1.012026
The MIMO-ME-MS Channel: Analysis and Algorithm for Secure MIMO Integrated Sensing and Communications · IEEE J. Sel. Areas Commun. 2026
Cellular and mobile networks › integrated sensing and communication
secure ISAC
1.012026
The MIMO-ME-MS Channel: Analysis and Algorithm for Secure MIMO Integrated Sensing and Communications · IEEE J. Sel. Areas Commun. 2026

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

weighted sum-rate maximization · 1.0subspace decomposition · 1.0difference of convex programming · 1.0
YearPublicationVenuePosition
2026 The MIMO-ME-MS Channel: Useful-Subspace Characterization and Practical Precoder Design for Secure MIMO ISAC
Seongkyu Jung, Jeonghun Park
ISIT1
2026 The MIMO-ME-MS Channel: Analysis and Algorithm for Secure MIMO Integrated Sensing and Communications
abstract
This paper addresses precoder design for secure multiple-input multiple-output (MIMO) integrated sensing and communications (ISAC) systems. We introduce a MIMO channel with a multiple-antenna eavesdropper and a multiple-antenna sensing receiver (MIMO-ME-MS) and analyze the fundamental performance limits of this tripartite tradeoff. Using sensing mutual information, we formulate the precoder design as a nonconvex weighted sum rate maximization problem. A high signal-to-noise ratio analysis based on a subspace decomposition characterizes the maximum weighted degrees of freedom. This analysis reveals the structure of a quasi-optimal precoder that must span the “useful subspace” and demonstrates the inadequacy of extending known schemes from simpler wiretap or ISAC channels. To solve this nonconvex problem, we develop a practical two-stage iterative algorithm that alternates between a sequential basis construction stage and a power allocation stage that solves the resulting difference-of-convex program. We demonstrate that the proposed method captures the desirable precoder structure identified in our analysis and achieves substantial performance gains in the MIMO-ME-MS channel.
Seongkyu Jung, Namyoon Lee, Jeonghun Park
IEEE J. Sel. Areas Commun.1