7 papers
World Model-Enabled Causal Digital Twins for Semantic Communications in Physical AI Systems
Lingyi Wang, Tingyu Shui, Walid Saad +1
Semantic communication has emerged as a promising paradigm for enabling goal-oriented networking. However, most existing semantic communication solutions are tailored to one-shot t…
Knowledge-Driven 3D Semantic Spectrum Map: KE-VQ-Transformer Based UAV Semantic Communication and Map Completion
Wei Wu, Lingyi Wang, Fuhui Zhou +2
Artificial intelligence (AI)-native three-dimensional (3D) spectrum maps are crucial in spectrum monitoring for intelligent communication networks. However, it is challenging to ob…
Knowledge Graph-Based Explainable and Generalized Zero-Shot Semantic Communications
Zhaoyu Zhang, Lingyi Wang, Wei Wu +2
Data-driven semantic communication is based on superficial statistical patterns, thereby lacking interpretability and generalization, especially for applications with the presence…
Cross-Layer Security for Semantic Communications: Metrics and Optimization
Lingyi Wang, Wei Wu, Fuhui Zhou +2
Different from traditional secure communication that focuses on symbolic protection at the physical layer, semantic secure communication requires further attention to semantic-leve…
IRS-Enhanced Secure Semantic Communication Networks: Cross-Layer and Context-Awared Resource Allocation
Lingyi Wang, Wei Wu, Fuhui Zhou +2
Learning-task oriented semantic communication is pivotal in optimizing transmission efficiency by extracting and conveying essential semantics tailored to specific tasks, such as i…
Adaptive Resource Allocation for Semantic Communication Networks
Lingyi Wang, Wei Wu, Fuhui Zhou +2
Semantic communication, recognized as a promising technology for future intelligent applications, has received widespread research attention. Despite the potential of semantic comm…
Hybrid Hierarchical DRL Enabled Resource Allocation for Secure Transmission in Multi-IRS-Assisted Sensing-Enhanced Spectrum Sharing Networks
Lingyi Wang, Wei Wu, Fuhui Zhou +3
Secure communications are of paramount importance in spectrum sharing networks due to the allocation and sharing characteristics of spectrum resources. To further explore the poten…