graph neural networks 1mu-miso 1precoding 1rate-splitting multiple access 1scalable signal processing 1
From the 1 of 3 linked papers with an AI index.
3 papers
eess.SP2026
Scalable Rate-Splitting Precoding via Recurrent Structure-Preserving Graph Neural Networks
Wonseok Choi, Jeongjae Lee, Songnam Hong
The paper introduces a recurrent structure‑preserving graph neural network (RS‑GNN) that learns scalable precoders for rate‑splitting multiple access (RSMA) in multi‑user MISO syst…
eess.SP2026
CSIT-Free Beamforming for Multi-Group Multicast in Overloaded mmWave Systems
Wonseok Choi, Jeongjae Lee, Songnam Hong
We study downlink multi-group multicast (MGM) transmission in overloaded millimeter-wave (mmWave) systems, where the number of users exceeds the number of transmit antennas. We fir…
eess.SP2025
CSIT-Free Downlink Transmission for mmWave MU-MISO Systems in High-Mobility Scenario
Jeongjae Lee, Wonseok Choi, Songnam Hong
This paper investigates the downlink (DL) transmission in millimeter-wave (mmWave) multi-user multiple-input single-output (MU-MISO) systems especially focusing on a high speed mob…