4 papers
CVaR-Based Variational Quantum Optimization for User Association in Handoff-Aware Vehicular Networks
Zijiang Yan, Hao Zhou, Jianhua Pei +3
Efficient resource allocation is essential for optimizing various tasks in wireless networks, which are usually formulated as generalized assignment problems (GAP). GAP, as a gener…
Holographic-Pattern Based Multi-User Beam Training in RHS-Aided Hybrid Near-Field and Far-Field Communications
Shupei Zhang, Boya Di, Aryan Kaushik +1
Reconfigurable holographic surfaces (RHSs) have been suggested as an energy-efficient solution for extremely large-scale arrays. By controlling the amplitude of RHS elements, high-…
From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks
Vu Khanh Quy, Nguyen Minh Quy, Tran Thi Hoai +6
6G wireless networks are expected to provide seamless and data-based connections that cover space-air-ground and underwater networks. As a core partition of future 6G networks, Spa…
Wireless Federated Learning over UAV-enabled Integrated Sensing and Communication
Shaba Shaon, Tien Nguyen, Lina Mohjazi +2
This paper studies a new latency optimization problem in unmanned aerial vehicles (UAVs)-enabled federated learning (FL) with integrated sensing and communication. In this setup, d…