4 citations · 4 across the 11 of their papers we have counts for
Showing eess.SYShow all
3 papers · 1 filter
eess.SY2026
Multimodal Large Language Model-guided Constrained Optimization for RAN Intelligent Control
Hyeonho Noh
Artificial intelligence (AI)-based radio access network (RAN) controllers are commonly designed for predefined operating scenarios and optimization tasks, limiting their adaptabili…
eess.SY2025
Adaptive Resource Allocation Optimization Using Large Language Models in Dynamic Wireless Environments
Hyeonho Noh, Byonghyo Shim, Hyun Jong Yang
Deep learning (DL) has made notable progress in addressing complex radio access network control challenges that conventional analytic methods have struggled to solve. However, DL h…
eess.SY2024
Joint Optimization on Uplink OFDMA and MU-MIMO for IEEE 802.11ax: Deep Hierarchical Reinforcement Learning Approach
Hyeonho Noh, Harim Lee, Hyun Jong Yang
This letter tackles a joint user scheduling, frequency resource allocation (USRA), multi-input-multi-output mode selection (MIMO MS) between single-user MIMO and multi-user (MU) MI…