93 citations · 179 across the 8 of their papers we have counts for
8 papers
Adaptive Digital Twin for UAV-Assisted Integrated Sensing, Communication, and Computation Networks
Bin Li, Wenshuai Liu, Wancheng Xie +2
In this paper, we study a digital twin (DT)-empowered integrated sensing, communication, and computation network. Specifically, the users perform radar sensing and computation offl…
Passive Eavesdropping Can Significantly Slow Down RIS-Assisted Secret Key Generation
Ningya Xu, Guoshun Nan, Xiaofeng Tao
Reconfigurable Intelligent Surface (RIS) assisted physical layer key generation has shown great potential to secure wireless communications by smartly controlling signals such as p…
SemProtector: A Unified Framework for Semantic Protection in Deep Learning-based Semantic Communication Systems
Xinghan Liu, Guoshun Nan, Qimei Cui +6
Recently proliferated semantic communications (SC) aim at effectively transmitting the semantics conveyed by the source and accurately interpreting the meaning at the destination.…
Symbol-level Integrated Sensing and Communication enabled Multiple Base Stations Cooperative Sensing
Zhiqing Wei, Ruizhong Xu, Zhiyong Feng +4
With the support of integrated sensing and communication (ISAC) technology, mobile communication system will integrate the function of wireless sensing, thereby facilitating new in…
Physical-layer Adversarial Robustness for Deep Learning-based Semantic Communications
Guoshun Nan, Zhichun Li, Jinli Zhai +7
End-to-end semantic communications (ESC) rely on deep neural networks (DNN) to boost communication efficiency by only transmitting the semantics of data, showing great potential fo…
Securing Semantic Communications with Physical-layer Semantic Encryption and Obfuscation
Qi Qin, Yankai Rong, Guoshun Nan +4
Deep learning based semantic communication(DLSC) systems have shown great potential of making wireless networks significantly more efficient by only transmitting the semantics of t…