Search Results - "Yo-Seb Jeon"
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1
Degrees of Freedom and Achievable Rate of Wide-Band Multi-Cell Multiple Access Channels With No CSIT
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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2
On Achievable Rate of User Selection for MIMO Broadcast Channels With Limited Feedback
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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3
Blind detection for MIMO systems with low-resolution ADCs using supervised learning
Published in 2017 IEEE International Conference on Communications (ICC) (01-05-2017)“…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
Time-Domain Differential Feedback for Massive MISO-OFDM Systems in Correlated Channels
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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5
Robust Data Detection for MIMO Systems With One-Bit ADCs: A Reinforcement Learning Approach
Published in IEEE transactions on wireless communications (01-03-2020)“…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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6
A Compressive Sensing Approach for Federated Learning Over Massive MIMO Communication Systems
Published in IEEE transactions on wireless communications (01-03-2021)“…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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7
One-Bit Sphere Decoding for Uplink Massive MIMO Systems With One-Bit ADCs
Published in IEEE transactions on wireless communications (01-07-2018)“…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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8
Distributed Block Diagonalization with Selective Zero Forcing for Multicell MU-MIMO Systems
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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9
Supervised-Learning-Aided Communication Framework for MIMO Systems With Low-Resolution ADCs
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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10
Communication-Efficient Federated Learning via Quantized Compressed Sensing
Published in IEEE transactions on wireless communications (01-02-2023)“…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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11
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing
Published in IEEE transactions on wireless communications (01-03-2024)“…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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12
MIMO Detection Under Hardware Impairments: Learning With Noisy Labels
Published in IEEE transactions on wireless communications (01-06-2024)“…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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13
Communication-Efficient Federated Learning Over MIMO Multiple Access Channels
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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14
MIMO systems with low-resolution ADCs: Linear coding approach
Published in 2017 IEEE International Conference on Communications (ICC) (01-05-2017)“…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
Performance Bound for MIMO Systems Using One-Bit ADCs Over Rayleigh Fading Channels
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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16
Soft-Output Detection Methods for Sparse Millimeter-Wave MIMO Systems With Low-Precision ADCs
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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17
Large System Analysis of Two-Stage Beamforming With Limited Feedback in FDD Massive MIMO Systems
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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18
Training Length Adaptation for Reinforcement Learning-Based Detection in Time-Varying Massive MIMO Systems With One-Bit ADCs
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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19
Low-Complexity MIMO Detection Based on Reinforcement Learning With One-Bit ADCs
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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20
Semi-Data-Aided Channel Estimation for MIMO Systems via Reinforcement Learning
Published in IEEE transactions on wireless communications (01-07-2023)“…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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