4 citations · 4 across the 11 of their papers we have counts for
15 papers
Near-Field Localization Beyond Bandwidth Limits for Large-Aperture Pinching-Antenna Systems
Hyeonho Noh
Conventional bandwidth-limited ranging resolves delay on the scale of \(c_0/(2B)\), yet a large distributed aperture can support substantially finer localization through near-field…
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…
MROP: Mask-Region Optimized Purification Against Backdoor Attack in Deep JSCC
Seongkyu Yang, Hyeonho Noh, Hyun Jong Yang +1
Deep joint source and channel coding (JSCC) transmits a source by mapping it directly to channel symbols through an end-to-end deep neural network (DNN) and reconstructing it at th…
IMNet: Intercarrier Interference Mitigation Network for Integrated Sensing and Communication in Spectrally Efficient FDM Systems
Hyeonho Noh
Spectrally efficient frequency-division multiplexing (SEFDM) is an attractive waveform to improve communication spectral efficiency by compressing the subcarrier spacing, yet its u…
Dispersion-aware Localization Network for Wideband OFDM Pinching-Antenna Integrated Sensing and Communication Systems
Hyeonho Noh, Hyun Jong Yang
Pinching-antenna systems (PASS) provide a large effective aperture and substantial path-loss reduction at low hardware cost, making them attractive for integrated sensing and commu…
α-Fair Multistatic ISAC Beamforming for Multi-User MIMO-OFDM Systems via Riemannian Optimization
Hyeonho Noh, Jonggyu Jang
This paper proposes an -fair multistatic integrated sensing and communication (ISAC) framework for multi-user multi-input multi-output (MIMO)-orthogonal frequency division multi…
ALERT Open Dataset and Input-Size-Agnostic Vision Transformer for Driver Activity Recognition using IR-UWB
Jeongjun Park, Sunwook Hwang, Hyeonho Noh +3
Distracted driving contributes to fatal crashes worldwide. To address this, researchers are using driver activity recognition (DAR) with impulse radio ultra-wideband (IR-UWB) radar…
Group-wise Semantic Splitting Multiple Access for Multi-User Semantic Communication
Jungyeon Koh, Hyeonho Noh, Hyun Jong Yang
In this letter, we propose a group-wise semantic splitting multiple access framework for multi-user semantic communication in downlink scenarios. The framework begins by applying a…
Large Multimodal Models-Empowered Task-Oriented Autonomous Communications: Design Methodology and Implementation Challenges
Hyun Jong Yang, Hyunsoo Kim, Hyeonho Noh +2
Large language models (LLMs) and large multimodal models (LMMs) have achieved unprecedented breakthrough, showcasing remarkable capabilities in natural language understanding, gene…
Multiple Active STAR-RIS-Assisted Secure Integrated Sensing and Communication via Cooperative Beamforming
Hyeonho Noh, Hyeonsu Lyu, Hyun Jong Yang
This paper explores an integrated sensing and communication (ISAC) network empowered by multiple active simultaneously transmitting and reflecting reconfigurable intelligent surfac…
DCFNet: Doppler Correction Filter Network for Integrated Sensing and Communication in Multi-User MIMO-OFDM Systems
Hyeonho Noh, Hyeonsu Lyu, Moe Z. Win +1
Integrated sensing and communication (ISAC) is a headline feature for the forthcoming IMT-2030 and 6G releases, yet a concrete solution that fits within the established orthogonal…
Secure Multi-Hop Relaying in Large-Scale Space-Air-Ground-Sea Integrated Networks
Hyeonsu Lyu, Hyeonho Noh, Hyun Jong Yang +1
As a key enabler of borderless and ubiquitous connectivity, space-air-ground-sea integrated networks (SAGSINs) are expected to be a cornerstone of 6G wireless communications. Howev…
Robust Transmission of Punctured Text with Large Language Model-based Recovery
Sojeong Park, Hyeonho Noh, Hyun Jong Yang
With the recent advancements in deep learning, semantic communication which transmits only task-oriented features, has rapidly emerged. However, since feature extraction relies on…
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…
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…