52 citations · 68 across the 8 of their papers we have counts for
8 papers
Space Generative AI with Solar Energy Harvesting
Jierui Zhang, Jianhao Huang, Zhanwei Wang +1
Satellites are emerging as promising platforms to extend generative \emph{artificial intelligence} (AI) services to remote areas lacking terrestrial infrastructure. However, deploy…
B2X Networks: Joint Design of Communication and Control for Embodied Intelligence
Yuanwei Liu, Xu Gan, Zhaolin Wang +5
This article proposes the concept of \emph{brain-body-to-everything (B2X)} networks to facilitate the integration of wireless networks and embodied intelligence. In this framework,…
Toward Proactive RF Charging Scheduling: Generative AI for Decision Support
Amirhossein Azarbahram, Osmel M. Rosabal, David Ernesto Ruiz-Guirola +3
Radio frequency wireless power transfer (RF-WPT) is an enabling technology for supporting uninterrupted communications in future Internet of Things systems by reducing the need for…
Digitalizing Over-the-Air Computation via The Novel Complement Coded Modulation
Zhixu Wang, Jiacheng Yao, Wei Xu +2
To overcome inherent limitations of analog signals in over-the-air computation (AirComp), this letter proposes a two's complement-based coding scheme for the AirComp implementation…
Empowering Intelligent Low-altitude Economy with Large AI Model Deployment
Zhonghao Lyu, Yulan Gao, Junting Chen +4
Low-altitude economy (LAE) represents an emerging economic paradigm that redefines commercial and social aerial activities. Large artificial intelligence models (LAIMs) offer trans…
Probabilistic Semantic Communication over Wireless Networks with Rate Splitting
Zhouxiang Zhao, Zhaohui Yang, Ye Hu +3
In this paper, the problem of joint transmission and computation resource allocation for probabilistic semantic communication (PSC) system with rate splitting multiple access (RSMA…
Decentralized Federated Learning with Asynchronous Parameter Sharing for Large-scale IoT Networks
Haihui Xie, Minghua Xia, Peiran Wu +2
Federated learning (FL) enables wireless terminals to collaboratively learn a shared parameter model while keeping all the training data on devices per se. Parameter sharing consis…
Goal-Oriented Wireless Communication Resource Allocation for Cyber-Physical Systems
Cheng Feng, Kedi Zheng, Yi Wang +2
The proliferation of novel industrial applications at the wireless edge, such as smart grids and vehicle networks, demands the advancement of cyber-physical systems. The performanc…