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Hyeonho Noh

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Preprint Sep 2026

Multimodal Large Language Model-guided Constrained Optimization for RAN Intelligent Control

Artificial intelligence (AI)-based radio access network (RAN) controllers are commonly designed for predefined operating scenarios and optimization tasks, limiting their adaptability when network conditions and operator requirements change after deployment. This paper proposes multimodal large language model (MLLM)-gui...

Hyeonho Noh · 0 citations
Preprint Aug 2026

Dispersion-aware Localization Network for Wideband OFDM Pinching-Antenna Integrated Sensing and Communication Systems

This paper proposes a two-stage ISAC framework comprising communication-aware beamforming and antenna placement followed by a dispersion-aware target localization stage, and results show substantial localization gains over various sensing baselines while preserving the achievable communication rate.

Hyeonho Noh, Hyun Jong Yang · 2 citations
Preprint Sep 2026

MROP: Mask-Region Optimized Purification Against Backdoor Attack in Deep JSCC

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 the receiver. Taking image transmission as an application, this DNN pipeline behaves as a black box: the receiver cannot readily detect securi...

Seongkyu Yang, Hyeonho Noh, Hyun Jong Yang et al. · 0 citations
Preprint Aug 2026

IMNet: Intercarrier Interference Mitigation Network for Integrated Sensing and Communication in Spectrally Efficient FDM Systems

A model-driven ISAC framework that supports spectrally efficient multi-user communication while mitigating both S-ICI and D-ICI in sensing is developed, and an intercarrier interference mitigation network (IMNet) is proposed, which exploits the distinct physical structures of the two interferences.

Hyeonho Noh · 0 citations

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