2 papers
eess.SP2024
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 (…
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…