4 papers
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…
D2D Power Allocation via Quantum Graph Neural Network
Tung Giang Le, Xuan Tung Nguyen, Won-Joo Hwang
Increasing wireless network complexity demands scalable resource management. Classical GNNs excel at graph learning but incur high computational costs in large-scale settings. We p…
Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement Learning
Le Tung Giang, Vu Hoang Viet, Nguyen Xuan Tung +2
The vehicle routing problem (VRP) is a fundamental NP-hard task in intelligent transportation systems with broad applications in logistics and distribution. Deep reinforcement lear…
Joint Access Point Activation and Power Allocation for Cell-Free Massive MIMO Aided ISAC Systems
Nguyen Xuan Tung, Le Tung Giang, Trinh Van Chien +2
Cell-free massive multiple-input multiple-output (MIMO)-aided integrated sensing and communication (ISAC) systems are investigated where distributed access points jointly serve use…