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Author

Sungrae Cho

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Conference Aug 2026

Quantum Machine Learning for Intelligent ICT Systems: A Survey of Models, Algorithms, Challenges, and Future Directions

Quantum machine learning (QML) is an emerging research area that combines quantum computing with machine learning to exploit quantum superposition, entanglement, interference, and high-dimensional Hilbert-space representations. This paper presents a concise survey of QML models and algorithms for near-term noisy interm...

Ton That Tam Dinh, Manh Cuong Ho, Ayalneh Bitew Wondmagegn et al. · 0 citations
Conference Aug 2026

Predictive Versus Projection-Based Scheduling for O-RAN Fronthaul Deadline Assurance

In the Open Radio Access Network (O-RAN) 7.2x split, the Distributed Unit (O-DU) must finish upper physicallayer processing before strict fronthaul deadlines. However, heterogeneous acceleration through CPU fallback, shared acceleration, and dedicated acceleration introduces profile-selection, contention, and queueing...

Viet Anh-Huy Le, Anh-Tien Tran, Thanh Thien-An Dang et al. · 0 citations
2026

Multi-Agent Network Management With Dynamic Entropy-Driven Logistic Trust Aggregation

Autonomous network management increasingly fuses multiple heterogeneous detectors—such as the intrusion detectors that monitor different traffic planes for 6G and Internet of Things (IoT) security—through adaptive trust-weighted consensus. When trust is updated online, however, such systems face a fundamental stability...

Minhyeok Jang, J. Ben-othman, Hyunchae Chun et al. · 0 citations
Conference Jul 2026

Toward Event-Driven Per-UE xApps in Open RAN Near-RT RIC

The Open Radio Access Network (O-RAN) NearReal-Time RAN Intelligent Controller (Near-RT RIC) hosts xApps that perform per-User-Equipment (UE) closed-loop control over the E2 interface, and proactive control of handover, scheduling, and anomaly response depends on the freshness of the underlying counters. Surveyed per-U...

Thanh Thien-An Dang, Dongwook Won, Juyoung Kim et al. · 1 citation
Conference Jul 2026

Satellite Semantic Communication: A Survey on Architectures, Onboard Processing, and Inter-Satellite Networking

Satellite networks are emerging as core infrastructure for sixth-generation (6G) wireless systems, yet they face stringent constraints on bandwidth, onboard energy, processing capability, and link availability that bit-oriented communication cannot resolve. Semantic communication, which extracts and transmits task-rele...

Son-Do Tung, Thanh Phung Truong, The-Vi Nguyen et al. · 0 citations
Conference Jul 2026

A Secure Hierarchical Federated Learning Architecture for UAV-Enabled Edge Computing Systems

Unmanned aerial vehicles (UAVs) are emerging as mobile edge nodes for temporary coverage, aerial sensing, disaster response, public-safety monitoring, intelligent transportation, and smart-agriculture services. Although federated learning (FL) enables distributed model training without transferring raw data, convention...

Ton That Tam Dinh, Manh Cuong Ho, Ayalneh Bitew Wondmagegn et al. · 0 citations
Conference Jul 2026

A Survey For Integrating FAS, RIS, and Hybrid NOMA-MEC In 6G Wireless Network

As the transition toward sixth-generation (6G) wireless networks accelerates, the demand for ultra-low latency and high energy efficiency has become paramount. Traditional Mobile Edge Computing (MEC) frameworks face significant challenges in highly dynamic and interference-limited environments. This survey explores a s...

Kiet Nguyen Tuan Tran, Huy Dang Mac, Tung Son Do et al. · 0 citations
Conference Jul 2026

Toward Fusion Intelligence of Open Radio Access Network with Federated Learning: A Survey

Open Radio Access Network (O-RAN) enables flexible and intelligent radio access network operation through disaggregation, virtualization, open interfaces, and RAN Intelligent Controllers (RICs). At the same time, the data required to train artificial intelligence and machine learning models in O-RAN is naturally distri...

Junsuk Oh, Donghyun Lee, Chunghyun Lee et al. · 0 citations
Conference Jul 2026

Joint Trajectory and Scheduling Optimization for UAV-Assisted 6G Networks: A Deep Reinforcement Learning Approach with Throughput–AoI Trade-off

Unmanned aerial vehicle (UAV) communications are a promising enabler for 6G networks, offering flexible deployment and strong line-of-sight channel conditions. Effective UAV operation requires jointly optimizing trajectory and user scheduling to balance throughput and information freshness. This paper proposes a proxim...

Quang Tuan Do, Tung Son Do, Thanh Phung Truong et al. · 0 citations
Conference Jul 2026

Toward End-to-End Intent-Based Networking for 6G: Architectures, Challenges, Recent Advances, and Future Directions

Intent-Based Networking (IBN) has emerged as a promising paradigm for simplifying network management by allowing operators and applications to specify high-level service objectives rather than low-level device configurations. Early IBN research was mainly developed in Software-Defined Networking (SDN), Network Function...

Dongwook Won, Thanh Thien-An Dang, Ton That Tam Dinh et al. · 0 citations

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