World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8146
World Ranking
7573
National Ranking
69

Overview

Byonghyo Shim is affiliated with Seoul National University in South Korea. Their research focuses on engineering and computer science, with a significant concentration on electrical and electronic engineering, aerospace engineering, artificial intelligence, computer networks and communications, and computer vision and pattern recognition.

They have contributed extensively to topics such as advanced wireless communication technologies, advanced MIMO systems optimization, millimeter-wave propagation and modeling, microwave engineering and waveguides, indoor and outdoor localization technologies, antenna design and analysis, and advanced wireless communication techniques.

Byonghyo Shim has a robust publication record in several venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Communications
  • GLOBECOM 2022 - 2022 IEEE Global Communications Conference

The scientist's notable recent papers are:

  • Deep Neural Network-Based Active User Detection for Grant-Free NOMA Systems, 2020, IEEE Transactions on Communications
  • 6G R&D vision: Requirements and candidate technologies, 2022, Journal of Communications and Networks
  • Integrated Sensing and Communication Waveform Design With Sparse Vector Coding: Low Sidelobes and Ultra Reliability, 2022, IEEE Transactions on Vehicular Technology
  • Towards 6G hyper-connectivity: Vision, challenges, and key enabling technologies, 2023, Journal of Communications and Networks
  • Direction-of-Arrival Estimation for Large Antenna Arrays With Hybrid Analog and Digital Architectures, 2021, IEEE Transactions on Signal Processing

They collaborate frequently with several researchers, including Seungnyun Kim, Yongjun Ahn, Kyuhong Shim, Jiao Wu, and Wonjun Kim, with varying numbers of coauthored works.

Byonghyo Shim's work bridges multiple disciplines, focusing on areas important to emerging communication technologies and signal processing, contributing to both foundational studies and applied research in wireless systems and network design.

Best Publications

  • Generalized Orthogonal Matching Pursuit

    Jian Wang;Seokbeop Kwon;Byonghyo Shim

  • Ultra-Reliable and Low-Latency Communications in 5G Downlink: Physical Layer Aspects

    Hyoungju Ji;Sunho Park;Jeongho Yeo;Younsun Kim

  • Compressed Sensing for Wireless Communications: Useful Tips and Tricks

    Jun Won Choi;Byonghyo Shim;Yacong Ding;Bhaskar Rao

  • Reliable low-power digital signal processing via reduced precision redundancy

    Byonghyo Shim;S.R. Sridhara;N.R. Shanbhag

  • Structured Compressive Sensing-Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO

    Zhen Gao;Linglong Dai;Wei Dai;Byonghyo Shim

  • Recent trend of multiuser MIMO in LTE-advanced

    Chaiman Lim;Taesang Yoo;B. Clerckx;Byungju Lee

  • On the Recovery Limit of Sparse Signals Using Orthogonal Matching Pursuit

    Jian Wang;Byonghyo Shim

  • Overview of Full-Dimension MIMO in LTE-Advanced Pro

    Hyoungju Ji;Younsun Kim;Juho Lee;Eko Onggosanusi

  • Multipath Matching Pursuit

    Suhyuk Kwon;Jian Wang;Byonghyo Shim

  • Energy-efficient soft error-tolerant digital signal processing

    Byonghyo Shim;N.R. Shanbhag

  • Low-Rank Matrix Completion: A Contemporary Survey

    Luong Trung Nguyen;Junhan Kim;Byonghyo Shim

  • Service Multiplexing and Revenue Maximization in Sliced C-RAN Incorporated With URLLC and Multicast eMBB

    Jianhua Tang;Byonghyo Shim;Tony Q. S. Quek

  • Performance Analysis of FD-NOMA-Based Decentralized V2X Systems

    Di Zhang;Yuanwei Liu;Linglong Dai;Ali Kashif Bashir

  • Antenna Grouping Based Feedback Compression for FDD-Based Massive MIMO Systems

    Byungju Lee;Junil Choi;Ji-Yun Seol;David J. Love

  • Multiuser Detection via Compressive Sensing

    Byonghyo Shim;Byungkwen Song

  • Sphere Decoding With a Probabilistic Tree Pruning

    Byonghyo Shim;Insung Kang

  • Recovery of sparse signals via generalized orthogonal matching pursuit: A new analysis

    Jian Wang;Suhyuk Kwon;Ping Li;Byonghyo Shim

  • Channel Feedback Based on AoD-Adaptive Subspace Codebook in FDD Massive MIMO Systems

    Wenqian Shen;Linglong Dai;Byonghyo Shim;Zhaocheng Wang

  • 6G R&D vision: Requirements and candidate technologies

    Unknown

  • EP-Based Joint Active User Detection and Channel Estimation for Massive Machine-Type Communications

    Jinyoup Ahn;Byonghyo Shim;Kwang Bok Lee

  • Joint CSIT Acquisition Based on Low-Rank Matrix Completion for FDD Massive MIMO Systems

    Wenqian Shen;Linglong Dai;Byonghyo Shim;Shahid Mumtaz

  • Deep Neural Network-Based Active User Detection for Grant-Free NOMA Systems

    Wonjun Kim;Yongjun Ahn;Byonghyo Shim

  • Introduction to Ultra Reliable and Low Latency Communications in 5G.

    Hyoungju Ji;Sunho Park;Jeongho Yeo;Younsun Kim

Frequent Co-Authors

Andrew C. Singer
Andrew C. Singer University of Illinois at Urbana-Champaign
Naresh R. Shanbhag
Naresh R. Shanbhag University of Illinois at Urbana-Champaign
Linglong Dai
Linglong Dai Tsinghua University
Nam Ik Cho
Nam Ik Cho Seoul National University
Younsun Kim
Younsun Kim Samsung (South Korea)
Zhaocheng Wang
Zhaocheng Wang Tsinghua University
Tony Q. S. Quek
Tony Q. S. Quek Singapore University of Technology and Design
David J. Love
David J. Love Purdue University West Lafayette
Guoqiang Mao
Guoqiang Mao Xidian University
Junil Choi
Junil Choi Korea Advanced Institute of Science and Technology

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