42 citations · 54 across the 7 of their papers we have counts for
7 papers · 1 filter
Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning
Dingzhu Wen, Sijing Xie, Xiaowen Cao +4
This paper studies an over-the-air federated edge learning (Air-FEEL) system with integrated sensing, communication, and computation (ISCC), in which one edge server coordinates mu…
Towards Effective and Interpretable Semantic Communications
Youlong Wu, Yuanmin Shi, Shuai Ma +3
With the exponential surge in traffic data and the pressing need for ultra-low latency in emerging intelligence applications, it is envisioned that 6G networks will demand disrupti…
A Survey on Integrated Sensing, Communication, and Computation
Dingzhu Wen, Yong Zhou, Xiaoyang Li +3
The forthcoming generation of wireless technology, 6G, aims to usher in an era of ubiquitous intelligent services, where everything is interconnected and intelligent. This vision r…
Task-oriented Over-the-air Computation for Edge-device Co-inference with Balanced Classification Accuracy
Xiang Jiao, Dingzhu Wen, Guangxu Zhu +3
Edge-device co-inference, which concerns the cooperation between edge devices and an edge server for completing inference tasks over wireless networks, has been a promising techniq…
Collaborative Edge AI Inference over Cloud-RAN
Pengfei Zhang, Dingzhu Wen, Guangxu Zhu +3
In this paper, a cloud radio access network (Cloud-RAN) based collaborative edge AI inference architecture is proposed. Specifically, geographically distributed devices capture rea…
Integrating Sensing, Communication, and Power Transfer: From Theory to Practice
Xiaoyang Li, Zidong Han, Guangxu Zhu +6
To support the development of internet-of-things applications, an enormous population of low-power devices are expected to be incorporated in wireless networks performing sensing a…
Nonconvex Demixing From Bilinear Measurements
Jialin Dong, Yuanming Shi
We consider the problem of demixing a sequence of source signals from the sum of noisy bilinear measurements. It is a generalized mathematical model for blind demixing with blind d…