Search Results - "Yo-Seb Jeon"

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  1. 1

    Degrees of Freedom and Achievable Rate of Wide-Band Multi-Cell Multiple Access Channels With No CSIT by Yo-Seb Jeon, Namyoon Lee, Tandon, Ravi

    Published in IEEE transactions on communications (01-04-2018)
    “…This paper considers a K-cell multiple access channel with inter-symbol interference. The primary finding of this paper is that, without instantaneous channel…”
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    Journal Article
  2. 2

    On Achievable Rate of User Selection for MIMO Broadcast Channels With Limited Feedback by Min, Moonsik, Jeon, Yo-Seb, Im, Gi-Hong

    Published in IEEE transactions on communications (01-01-2017)
    “…We consider the block diagonalization (BD) and user selection based on limited feedback in multiple antenna broadcast channels. With limited feedback, due to…”
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    Journal Article
  3. 3

    Blind detection for MIMO systems with low-resolution ADCs using supervised learning by Yo-Seb Jeon, Song-Nam Hong, Namyoon Lee

    “…This paper considers a multiple-input-multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs). In this system, we propose a novel…”
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    Conference Proceeding
  4. 4

    Time-Domain Differential Feedback for Massive MISO-OFDM Systems in Correlated Channels by Jeon, Yo-Seb, Kim, Hyun-Myung, Cho, Yong-Sang, Im, Gi-Hong

    Published in IEEE transactions on communications (01-02-2016)
    “…Massive multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) is a promising technology for next-generation wireless…”
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    Journal Article
  5. 5

    Robust Data Detection for MIMO Systems With One-Bit ADCs: A Reinforcement Learning Approach by Jeon, Yo-Seb, Lee, Namyoon, Poor, H. Vincent

    “…The use of one-bit analog-to-digital converters (ADCs) at a receiver is a power-efficient solution for future wireless systems operating with a large signal…”
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    Journal Article
  6. 6

    A Compressive Sensing Approach for Federated Learning Over Massive MIMO Communication Systems by Jeon, Yo-Seb, Amiri, Mohammad Mohammadi, Li, Jun, Poor, H. Vincent

    “…Federated learning is a privacy-preserving approach to train a global model at a central server by collaborating with wireless devices, each with its own local…”
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    Journal Article
  7. 7

    One-Bit Sphere Decoding for Uplink Massive MIMO Systems With One-Bit ADCs by Jeon, Yo-Seb, Lee, Namyoon, Hong, Song-Nam, Heath, Robert W.

    “…This paper presents a low-complexity near-maximum-likelihood-detection (near-MLD) algorithm called one-bit sphere decoding for an uplink massive multiple-input…”
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    Journal Article
  8. 8

    Distributed Block Diagonalization with Selective Zero Forcing for Multicell MU-MIMO Systems by Jeon, Yo-Seb, Kim, Young-Jin, Min, Moonsik, Im, Gi-Hong

    Published in IEEE signal processing letters (01-05-2014)
    “…This letter proposes a distributed beamforming scheme based on block diagonalization (BD) for multicell multiuser multiple-input multiple-output (MU-MIMO)…”
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    Journal Article
  9. 9

    Supervised-Learning-Aided Communication Framework for MIMO Systems With Low-Resolution ADCs by Jeon, Yo-Seb, Hong, Song-Nam, Lee, Namyoon

    Published in IEEE transactions on vehicular technology (01-08-2018)
    “…This paper considers a multiple-input multiple-output system with low-resolution analog-to-digital converters (ADCs). In this system, we propose a novel…”
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    Journal Article
  10. 10

    Communication-Efficient Federated Learning via Quantized Compressed Sensing by Oh, Yongjeong, Lee, Namyoon, Jeon, Yo-Seb, Poor, H. Vincent

    “…In this paper, we present a communication-efficient federated learning framework inspired by quantized compressed sensing. The presented framework consists of…”
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    Journal Article
  11. 11

    FedVQCS: Federated Learning via Vector Quantized Compressed Sensing by Oh, Yongjeong, Jeon, Yo-Seb, Chen, Mingzhe, Saad, Walid

    “…In this paper, a new communication-efficient federated learning (FL) framework is proposed, inspired by vector quantized compressed sensing. The basic strategy…”
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    Journal Article
  12. 12

    MIMO Detection Under Hardware Impairments: Learning With Noisy Labels by Kwon, Jinman, Jeon, Seunghyeon, Jeon, Yo-Seb, Poor, H. Vincent

    “…This paper considers a data detection problem in multiple-input multiple-output (MIMO) communication systems with hardware impairments. To address challenges…”
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    Journal Article
  13. 13

    Communication-Efficient Federated Learning Over MIMO Multiple Access Channels by Jeon, Yo-Seb, Mohammadi Amiri, Mohammad, Lee, Namyoon

    Published in IEEE transactions on communications (01-10-2022)
    “…Communication efficiency is of importance for wireless federated learning systems. In this paper, we propose a communication-efficient strategy for federated…”
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    Journal Article
  14. 14

    MIMO systems with low-resolution ADCs: Linear coding approach by Song-Nam Hong, Yo-Seb Jeon, Namyoon Lee

    “…This paper considers a multiple-input multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs). In this system, we present a new…”
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    Conference Proceeding
  15. 15

    Performance Bound for MIMO Systems Using One-Bit ADCs Over Rayleigh Fading Channels by Kim, Tae-Kyoung, Min, Moonsik, Jeon, Yo-Seb

    Published in IEEE transactions on vehicular technology (01-08-2022)
    “…This study explores the performance of multiple-input multiple-output (MIMO) systems with one-bit analog-to-digital converters (ADCs) over Rayleigh fading…”
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    Journal Article
  16. 16

    Soft-Output Detection Methods for Sparse Millimeter-Wave MIMO Systems With Low-Precision ADCs by Jeon, Yo-Seb, Do, Heedong, Hong, Song-Nam, Lee, Namyoon

    Published in IEEE transactions on communications (01-04-2019)
    “…In this paper, we propose computationally efficient yet near-optimal soft-output detection methods for coded millimeter-wave (mmWave)…”
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    Journal Article
  17. 17

    Large System Analysis of Two-Stage Beamforming With Limited Feedback in FDD Massive MIMO Systems by Jeon, Yo-Seb, Min, Moonsik

    Published in IEEE transactions on vehicular technology (01-06-2018)
    “…Two-stage beamforming is a transmit strategy that uses two types of beamformers to reduce the feedback overhead of frequency-division-duplexing massive…”
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    Journal Article
  18. 18

    Training Length Adaptation for Reinforcement Learning-Based Detection in Time-Varying Massive MIMO Systems With One-Bit ADCs by Kim, Tae-Kyoung, Jeon, Yo-Seb, Min, Moonsik

    Published in IEEE transactions on vehicular technology (01-07-2021)
    “…This study elucidates a reinforcement learning (RL)-based detection with one-bit analog-to-digital converters (ADCs) in time-varying massive multiple-input and…”
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    Journal Article
  19. 19

    Low-Complexity MIMO Detection Based on Reinforcement Learning With One-Bit ADCs by Kim, Tae-Kyoung, Jeon, Yo-Seb, Min, Moonsik

    Published in IEEE transactions on vehicular technology (01-09-2021)
    “…This paper proposes a low-complexity reinforcement learning detection (RLD) algorithm for multi-input multi-output systems with one-bit analog-to-digital…”
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    Journal Article
  20. 20

    Semi-Data-Aided Channel Estimation for MIMO Systems via Reinforcement Learning by Kim, Tae-Kyoung, Jeon, Yo-Seb, Li, Jun, Tavangaran, Nima, Poor, H. Vincent

    “…Data-aided channel estimation is a promising solution to improve channel estimation accuracy by exploiting data symbols as pilot signals for updating an…”
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    Journal Article