4 papers
Deep Learning-Assisted Parallel Interference Cancellation for Grant-Free NOMA in Machine-Type Communication
Yongjeong Oh, Jaehong Jo, Byonghyo Shim +1
In this paper, we present a novel approach for joint activity detection (AD), channel estimation (CE), and data detection (DD) in uplink grant-free non-orthogonal multiple access (…
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…
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…
MIMO Systems With Low-Resolution ADCs: Linear Coding Approach
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, the paper presents a new MIMO detection…