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20162026
most citedSupervised-Learning-Aided Communication Framework for MIMO Systems with Low-Resolution ADCs

108 citations · 158 across the 43 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.IT2023

Prior-Aware Robust Beam Alignment for Low-SNR Millimeter-Wave Communications

Jihun Park, Yongjeong Oh, Jaewon Yun +2

This paper presents a robust beam alignment technique for millimeter-wave communications in low signal-to-noise ratio (SNR) environments. The core strategy of our technique is to r…

eess.SP2023

Joint Source-Channel Coding for Channel-Adaptive Digital Semantic Communications

Joohyuk Park, Yongjeong Oh, Seonjung Kim +1

In this paper, we propose a novel joint source-channel coding (JSCC) approach for channel-adaptive digital semantic communications. In semantic communication systems with digital m…

cs.IT2023

SplitMAC: Wireless Split Learning over Multiple Access Channels

Seonjung Kim, Yongjeong Oh, Yo-Seb Jeon

This paper presents a novel split learning (SL) framework, referred to as SplitMAC, which reduces the latency of SL by leveraging simultaneous uplink transmission over multiple acc…

eess.SP2023

Communication-Efficient Federated Learning over Capacity-Limited Wireless Networks

Jaewon Yun, Yongjeong Oh, Yo-Seb Jeon +1

In this paper, a communication-efficient federated learning (FL) framework is proposed for improving the convergence rate of FL under a limited uplink capacity. The central idea of…

cs.DC2023★ 1 cited

Communication-Efficient Split Learning via Adaptive Feature-Wise Compression

Yongjeong Oh, Jaeho Lee, Christopher G. Brinton +1

This paper proposes a novel communication-efficient split learning (SL) framework, named SplitFC, which reduces the communication overhead required for transmitting intermediate fe…

eess.SP2023

MIMO Detection under Hardware Impairments: Learning with Noisy Labels

Jinman Kwon, Seunghyeon Jeon, Yo-Seb Jeon +1

This paper considers a data detection problem in multiple-input multiple-output (MIMO) communication systems with hardware impairments. To address challenges posed by nonlinear and…