5 papers · 1 filter
Rate-Splitting Multiple Access for RIS-Enabled Full-Duplex Communications with User Relaying
Yuwen Cao, Hui Wang, Tomoaki Ohtsuki +1
Rate splitting multiple access (RSMA) has emerged as a promising non-orthogonal transmission mechanism to improve spectral- and energy efficiency, and user fairness in multi-antenn…
Flexible Intelligent Metasurface-Aided ISAC: User Fairness Optimization and Performance Evaluation
Hailun Huang, Yuwen Cao, Jiguang He +1
This paper investigates max-min user fairness optimization for flexible intelligent metasurface (FIM) and non-orthogonal multiple access (NOMA)-assisted integrated sensing and comm…
A Deep Transfer Learning-Based Low-overhead Beam Prediction in Vehicle Communications
Zhiqiang Xiao, Yuwen Cao, Mondher Bouazizi +2
Existing transfer learning-based beam prediction approaches primarily rely on simple fine-tuning. When there is a significant difference in data distribution between the target dom…
Coverage and Rate Performance Analysis of Multi-RIS-Assisted Dual-Hop mmWave Networks
Yuwen Cao, Xiaowen Wu, Jiguang He +2
Millimeter-wave (mmWave) communication, which operates at high frequencies, has gained extensive research interest due to its significantly wide spectrum and short wavelengths. How…
Memristor-Based Meta-Learning for Fast mmWave Beam Prediction in Non-Stationary Environments
Yuwen Cao, Tomoaki Ohtsuki, Setareh Maghsudi +1
Traditional machine learning techniques have achieved great success in improving data-rate performance and reducing latency in millimeter wave (mmWave) communications. However, the…