Minseok Choi

Soongsil University

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i-10 index

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Co-Authors

Joongheon Kim

Korea University

Young-Su Kwon

Electronics and Telecommunications Research Institute

Jaekyun Moon

Korea Advanced Institute of Science and Technology

Soo-Hyun Park

Sookmyung Women's University

Joongheon Kim

Korea University

Dongjae Kim

Pukyong National University

Soyi Jung

Ajou University

Jinkyu Kim

Korea University

Nak-Woong Eum

Electronics and Telecommunications Research Institute

Chun‐Gi Lyuh

Electronics and Telecommunications Research Institute

Cooperative Institutions

National Institutes of Health

269

Yale University

268

Harvard University

265

Rockefeller University

257

Brigham and Women's Hospital

250

Federation of American Societies for Experimental Biology

229

Electronics and Telecommunications Research Institute

Korea Advanced Institute of Science and Technology

Seoul National University

Korea University

Author Statistics

Papers

Citation

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i-10 index

Research Field

Network Disaggregation

Signals and communication technology (2023)

Soo-Hyun Park Chanyoung Park Jae Pyoung Kim Minseok Choi Joongheon Kim

Network Structure

10.1007/978-3-031-37920-8_20

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Citations (0)

Blind Signal Classification Analysis and Impact on User Pairing and Power Allocation in Nonorthogonal Multiple Access

IEEE Access (2020)

Minseok Choi Joongheon Kim

This paper studies blind signal classification (SC) in the nonorthogonal multiple access (NOMA) system, which especially determines whether or not the received NOMA signal requires successive interference cancellation (SIC) without a priori signal information. In this paper, two types of blind SC errors are analyzed: 1) the signal that has to cancel the superposed interference component is classified as one that does not require SIC and 2) the signal that has no need of performing SIC is classified as one that requires SIC. Here, the interesting observation is that the classification error of the first type decreases with the SNR, but that of the second type increases with the SNR. In this regard, this paper proposes the joint user pairing and power allocation policy for the NOMA system based on the above observation that the blind SC performance of the NOMA user who does not perform SIC decreases with the SNR. The joint optimization problem maximizes the sum-rate gain of NOMA over orthogonal multiple access (OMA) with constraints on the maximum classification error probability and the minimum data rate. Since the problem is nonconvex, we propose the numerical algorithm that iteratively finds the appropriate user scheduling and power allocation. Simulation results show that the proposed scheme outperforms existing user scheduling methods.

noma

SIGNAL (programming language)

10.1109/access.2020.2999362

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Citations (11)

The MPEG-4 BSAC Audio Decoder Implementation In Terrestrial DMB Receiver

Sukho Lee Minseok Choi J.H. Kim Duck-Hwan Kim Nak-Woong Eum

We have developed the BSAC audio decoder for T-DMB (terrestrial DMB) receiver. Here, we introduce and present an efficient implementation of BSAC audio decoder which consists of fast computation algorithm of filterbank, effective memory management of DSP, auto sampling frequency detection, simple lip sync method for A/V synchronization, error recovery circuit against some contaminating audio data and compact SDRAM hardware interface to receive the parsed MPEG-2 TS (transport stream). Because this decoder operates with low power consumption in spite of various functions, it is efficient for portable multimedia devices

Digital multimedia broadcasting

Digital Video Broadcasting

sync

Audio over Ethernet

Codec

10.1109/icce.2006.1598408

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Citations (3)

Age-of-Information Aware Caching and Delivery for Infrastructure-Assisted Connected Vehicles

IEEE Transactions on Vehicular Technology (2024)

Soo-Hyun Park Chanyoung Park Soyi Jung Minseok Choi Joongheon Kim

To achieve reliable and seamless content delivery services in connected vehicles, it is imperative to gather and employ road environment information through interactions with the surrounding infrastructure. Furthermore, caching the collected information enables rapid utilization within connected vehicles. For this objective, we propose a scenario that leverages infrastructure components such as road side units (RSUs) and macro base stations (MBSs) to cache road environment information. In this context, the age-of-information (AoI) concept serves as a critical factor for ensuring data freshness in ultra-fast time-varying road environments. Adhering to the AoI concept, it is crucial to maintain pertinent content in RSUs, update it prior to expiration, and distribute it to the targeted user vehicles (UVs). To address this goal, we introduce a two-stage algorithm composed of AoI-aware content caching and delay-aware content delivery, which are ultimately re-formulated using the Markov decision process (MDP) and Lyapunov optimization to ensure optimal decision-making in discrete time units. This strategy aims to enhance content delivery performance by minimizing AoI values in MBSs, RSUs, and UVs. Finally, data-intensive performance evaluation verifies that our proposed algorithm outperforms the other comparison algorithms.

Content Delivery

Lyapunov optimization

Information-Centric Networking

Delivery Performance

10.1109/tvt.2024.3384952

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Citations (0)

Quantum distributed deep learning architectures: Models, discussions, and applications

ICT Express (2022)

Yunseok Kwak Won Joon Yun Jae Pyoung Kim Hyunhee Cho Jihong Park

Although deep learning (DL) has already become a state-of-the-art technology for various data processing tasks, data security and computational overload problems often arise due to their high data and computational power dependency. To solve this problem, quantum deep learning (QDL) and distributed deep learning (DDL) has emerged to complement existing DL methods. Furthermore, a quantum distributed deep learning (QDDL) technique that combines and maximizes these advantages is getting attention. This paper compares several model structures for QDDL and discusses their possibilities and limitations to leverage QDDL for some representative application scenarios.

Leverage (statistics)

Complement

10.1016/j.icte.2022.08.004

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Citations (32)

Blockchain-Assisted Dynamic Resource Pool Selection for D2D Roaming Scenarios

IEEE Open Journal of the Communications Society (2024)

Seunghoon Park Tahira Mahboob Syed Tariq Shah Mahmoud A. Shawky Minseok Choi

Roaming

10.1109/ojcoms.2024.3507378

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Citations (0)

Wireless Video Caching and Dynamic Streaming Under Differentiated Quality Requirements

IEEE Journal on Selected Areas in Communications (2018)

Minseok Choi Joongheon Kim Jaekyun Moon

This paper considers one-hop device-to-device-assisted wireless caching networks that cache video files of varying quality levels, with the assumption that the base station can control the video quality but cache-enabled devices cannot. Two problems arise in such a caching network: file placement problem and node association problem. This paper suggests a method to cache videos of different qualities, and thus of varying file sizes, by maximizing the sum of video quality measures that users can enjoy. There exists an interesting tradeoff between video quality and video diversity, i.e., the ability to provision diverse video files. By caching high-quality files, the cache-enabled devices can provide high-quality video, but cannot cache a variety of files. Conversely, when the device caches various files, it cannot provide a good quality for file-requesting users. In addition, when multiple devices cache the same file but their qualities are different, advanced node association is required for file delivery. This paper proposes a node association algorithm that maximizes time-averaged video quality for multiple users under a playback delay constraint. In this algorithm, we also consider request collision, the situation where several users request files from the same device at the same time, and we propose two ways to cope with the collision: scheduling of one user and non-orthogonal multiple access. Simulation results verify that the proposed caching method and the node association algorithm work reliably.

10.1109/jsac.2018.2844980

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Citations (53)

Joint Mobile Charging and Coverage-Time Extension for Unmanned Aerial Vehicles

IEEE Access (2021)

Soo-Hyun Park Won-Yong Shin Minseok Choi Joongheon Kim

In modern networks, the use of drones as mobile base stations (MBSs) has been discussed for coverage flexibility. However, the realization of drone-based networks raises several issues. One of critical issues is drones are extremely power-hungry. To overcome this, we need to characterize a new type of drones, so-called charging drones, which can deliver energy to MBS drones. Motivated by the fact that the charging drones also need to be charged, we deploy ground-mounted charging towers for delivering energy to the charging drones. We introduce a new energy-efficiency maximization problem, which is partitioned into two independently separable tasks. More specifically, as our first optimization task, two-stage charging matching is proposed due to the inherent nature of our network model, where the first matching aims to schedule between charging towers and charging drones while the second matching solves the scheduling between charging drones and MBS drones. We analyze how to convert the formulation containing non-convex terms to another one only with convex terms. As our second optimization task, each MBS drone conducts energy-aware time-average transmit power allocation minimization subject to stability via Lyapunov optimization. Our solutions enable the MBS drones to extend their lifetimes; in turn, network coverage-time can be extended.

Drone

Maximization

10.1109/access.2021.3093431

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Citations (20)

Adaptive Detector Selection for Queue-Stable Word Error Rate Minimization in Connected Vehicle Receiver Design

IEEE Transactions on Vehicular Technology (2017)

Minseok Choi Joongheon Kim Jaekyun Moon

High-speed and low-latency communications are one of the major requirements for connected vehicle environments. Safety messages in vehicular networks must arrive on time for each vehicle, and the optimization of driving paths also strongly depends on low-latency traffic information. To comply with the demands, a base station take important roles to provide a short service delay for the vehicles, even at the expense of performance. The relationship between delay time and decoding performance at receiver sides in physical layers can be explained by the performance/complexity tradeoff as follows. To achieve better performance in terms of the minimization of word error rates in decoding, the receiver usually requires higher complexity, which results in larger delays. We analyze this tradeoff based on the receiver queue model. This paper proposes a novel algorithm to adaptively select one of receiver candidates under the constraint of queue stability so as not to degrade low-latency communications. Based on the configurable architecture for multi-input multioutput (MIMO) detectors, this paper shows that the proposed algorithm works well on adaptive MIMO detector selection.

Minification

Word error rate

10.1109/tvt.2017.2776327

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Citations (9)

Issue Information

ETRI Journal (2024)

Seung Chan Bang Won-Ik Kim Managing Jiyeon Jeongeun Shin J Woo

No abstract is available for this article.

10.4218/etr2.12675

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Citations (0)