Physical-layer adversarial robustness for deep learning-based semantic communications
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 …
communication efficiency by only transmitting the semantics of data, showing great potential …
Dual-functional UAV-empowered space-air-ground networks: Joint communication and sensing
In this paper, we investigate a sensing-enabled integrated space-air-ground (SAG) data
collection network, in which an unmanned aerial vehicle (UAV) can not only work singly to …
collection network, in which an unmanned aerial vehicle (UAV) can not only work singly to …
Resilient machine learning based semantic-aware MEC networks for sustainable next-G consumer electronics
In this paper, we investigate a semantic-aware mobile edge computing (MEC) network for
sustainable next-G consumer electronics, which leverages advanced semantic …
sustainable next-G consumer electronics, which leverages advanced semantic …
Covert communication of multi-antenna af relaying networks
This paper investigates the covert communication network assisted by the multi-antenna
relay, by taking into account two typical scenarios of eavesdrop** channel state …
relay, by taking into account two typical scenarios of eavesdrop** channel state …
Cloud-edge learning for adaptive video streaming in B5G internet-of-thing systems
The development of Internet of Things (IoT) networks causes an increasing demand for high-
quality video streaming, which results in the burden of traditional mobile cloud computing …
quality video streaming, which results in the burden of traditional mobile cloud computing …
A gan-based semantic communication for text without csi
Recently, semantic communication (SC) has been regarded as one of the most potential
paradigms of 6G. Current SC frameworks require the physical layer channel state …
paradigms of 6G. Current SC frameworks require the physical layer channel state …
Priority-aware path planning and user scheduling for UAV-mounted MEC networks: A deep reinforcement learning approach
X Zheng, Y Wu, L Zhang, M Tang, F Zhu - Physical Communication, 2024 - Elsevier
Owing to the flexibility and controllability, unmanned aerial vehicle (UAV) is frequently
integrated into mobile edge computing (MEC) network to improve the system performance …
integrated into mobile edge computing (MEC) network to improve the system performance …
Dual-game based UAV swarm obstacle avoidance algorithm in multi-narrow type obstacle scenarios
Y Lin, Z Na, Z Feng, B Lin, Y Lin - EURASIP Journal on Advances in …, 2023 - Springer
Due to the advantages of rapid deployment, flexible response and strong invulnerability,
unmanned aerial vehicle (UAV) swarm has been widely applied in collaborative warfare and …
unmanned aerial vehicle (UAV) swarm has been widely applied in collaborative warfare and …
Retrieval-augmented Generation for GenAI-enabled Semantic Communications
Semantic communication (SemCom) is an emerging paradigm aiming at transmitting only
task-relevant semantic information to the receiver, which can significantly improve …
task-relevant semantic information to the receiver, which can significantly improve …
Semantic Wireless Communications: Unveiling the Next Frontier in Intelligent Connectivity
Semantic communication, a multidisciplinary field, transforms communication technology by
integrating semantic understanding and improving information flow efficiency. This study …
integrating semantic understanding and improving information flow efficiency. This study …