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Scalable Quantum Message Passing Graph Neural Networks for Next-Generation Wireless Communications: Architectures, Use Cases, and Future Directions
Le Tung Giang, Nguyen Xuan Tung, Trinh Van Chien +2
Graph Neural Networks (GNNs) are eminently suitable for wireless resource management, thanks to their scalability, but they still face computational challenges in large-scale, dens…
Hybrid Quantum Convolutional Neural Network-Aided Pilot Assignment in Cell-Free Massive MIMO Systems
Doan Hieu Nguyen, Xuan Tung Nguyen, Seon-Geun Jeong +3
A sophisticated hybrid quantum convolutional neural network (HQCNN) is conceived for handling the pilot assignment task in cell-free massive MIMO systems, while maximizing the tota…
Quantum Annealing-Based Sum Rate Maximization for Multi-UAV-Aided Wireless Networks
Seon-Geun Jeong, Pham Dang Anh Duc, Quang Vinh Do +7
In wireless communication networks, it is difficult to solve many NP-hard problems owing to computational complexity and high cost. Recently, quantum annealing (QA) based on quantu…
Graph Neural Networks for Next-Generation-IoT: Recent Advances and Open Challenges
Nguyen Xuan Tung, Le Tung Giang, Bui Duc Son +4
Graph Neural Networks (GNNs) have emerged as a powerful framework for modeling complex interconnected systems, hence making them particularly well-suited to address the growing cha…
Jointly Optimizing Power Allocation and Device Association for Robust IoT Networks under Infeasible Circumstances
Nguyen Xuan Tung, Trinh Van Chien, Dinh Thai Hoang +1
Jointly optimizing power allocation and device association is crucial in Internet-of-Things (IoT) networks to ensure devices achieve their data throughput requirements. Device asso…
Distributed Graph Neural Network Design for Sum Ergodic Spectral Efficiency Maximization in Cell-Free Massive MIMO
Nguyen Xuan Tung, Trinh Van Chien, Hien Quoc Ngo +1
This paper proposes a distributed learning-based framework to tackle the sum ergodic rate maximization problem in cell-free massive multiple-input multiple-output (MIMO) systems by…