12 papers
Evolving Intelligent Complex Systems via Intellicise Networks: Architecture, Technologies, and Pathways
Ping Zhang, Rui Meng, Xiaodong Xu +23
Future engineering infrastructures are evolving into large-scale, open, heterogeneous, and wirelessly interconnected complex systems. These systems present significant challenges i…
Intellicise Wireless Networks Meet Agentic AI: A Security and Privacy Perspective
Rui Meng, Zhidi Zhang, Song Gao +9
Intellicise (Intelligent and Concise) wireless network is the main direction of the evolution of future mobile communication systems, a perspective now widely acknowledged across a…
S-MDMA: Sensitivity-Aware Model Division Multiple Access for Satellite-Ground Semantic Communication
Hui Cao, Rui Meng, Shujun Han +3
Satellite-ground semantic communication (SemCom) is expected to play a pivotal role in convergence of communication and AI (ComAI), particularly in enabling intelligent and efficie…
Secure Intellicise Wireless Network: Agentic AI for Coverless Semantic Steganography Communication
Rui Meng, Song Gao, Bingxuan Xu +6
Semantic Communication (SemCom), leveraging its significant advantages in transmission efficiency and reliability, has emerged as a core technology for constructing future intellic…
Semantic Radio Access Networks: Architecture, State-of-the-Art, and Future Directions
Rui Meng, Zixuan Huang, Jingshu Yan +8
Radio Access Network (RAN) is a bridge between user devices and the core network in mobile communication systems, responsible for the transmission and reception of wireless signals…
KGRAG-SC: Knowledge Graph RAG-Assisted Semantic Communication
Dayu Fan, Rui Meng, Song Gao +1
The state-of-the-art semantic communication (SC) schemes typically rely on end-to-end deep learning frameworks that lack interpretability and struggle with robust semantic selectio…
SREC: Encrypted Semantic Super-Resolution Enhanced Communication
Zhidi Zhang, Rui Meng, Song Gao +2
Semantic communication (SemCom), as a typical paradigm of deep integration between artificial intelligence (AI) and communication technology, significantly improves communication e…
SemSteDiff: Generative Diffusion Model-based Coverless Semantic Steganography Communication
Song Gao, Rui Meng, Xiaodong Xu +6
Semantic communication (SemCom), as a novel paradigm for future communication systems, has recently attracted much attention due to its superiority in communication efficiency. How…
Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art
Dayu Fan, Rui Meng, Xiaodong Xu +9
With the rapid development of Generative Artificial Intelligence (GAI) technology, Generative Diffusion Models (GDMs) have shown significant empowerment potential in the field of w…
Image Steganography For Securing Intellicise Wireless Networks: "Invisible Encryption" Against Eavesdroppers
Rui Meng, Song Gao, Haixiao Gao +6
As one of the most promising technologies for intellicise (intelligent and consice) wireless networks, Semantic Communication (SemCom) significantly improves communication efficien…
Generative AI for Physical-Layer Authentication
Rui Meng, Xiqi Cheng, Song Gao +6
Recently, Artificial Intelligence (AI)-driven Physical-Layer Authentication (PLA), which focuses on achieving endogenous security and intelligent identity authentication, has attra…
A Survey of Secure Semantic Communications
Rui Meng, Song Gao, Dayu Fan +11
Semantic communication (SemCom) is regarded as a promising and revolutionary technology in 6G, aiming to transcend the constraints of ``Shannon's trap" by filtering out redundant i…