8 citations · 17 across the 11 of their papers we have counts for
11 papers
Integrated Sensing-Communication-Computation for Edge Artificial Intelligence
Dingzhu Wen, Xiaoyang Li, Yong Zhou +3
Edge artificial intelligence (AI) has been a promising solution towards 6G to empower a series of advanced techniques such as digital twins, holographic projection, semantic commun…
Over-the-Air Integrated Sensing, Communication, and Computation in IoT Networks
Xiaoyang Li, Yi Gong, Kaibin Huang +1
To facilitate the development of Internet of Things (IoT) services, tremendous IoT devices are deployed in the wireless network to collect and pass data to the server for further p…
Joint Sensing and Communication-Rate Control for Energy Efficient Mobile Crowd Sensing
Ziqin Zhou, Xiaoyang Li, Changsheng You +2
Driven by the rapid growth of Internet of Things applications, tremendous data need to be collected by sensors and uploaded to the servers for further process. As a promising solut…
Integrated Sensing, Communication, and Computation Over-the-Air: MIMO Beamforming Design
Xiaoyang Li, Fan Liu, Ziqin Zhou +4
To support the unprecedented growth of the Internet of Things (IoT) applications, tremendous data need to be collected by the IoT devices and delivered to the server for further co…
Data Partition and Rate Control for Learning and Energy Efficient Edge Intelligence
Xiaoyang Li, Shuai Wang, Guangxu Zhu +3
The rapid development of artificial intelligence together with the powerful computation capabilities of the advanced edge servers make it possible to deploy learning tasks at the w…
Deploying Federated Learning in Large-Scale Cellular Networks: Spatial Convergence Analysis
Zhenyi Lin, Xiaoyang Li, Vincent K. N. Lau +2
The deployment of federated learning in a wireless network, called federated edge learning (FEEL), exploits low-latency access to distributed mobile data to efficiently train an AI…
Joint Annotator-and-Spectrum Allocation in Wireless Networks for Crowd Labelling
Xiaoyang Li, Guangxu Zhu, Kaiming Shen +3
The massive sensing data generated by Internet-of-Things will provide fuel for ubiquitous artificial intelligence (AI), automating the operations of our society ranging from transp…
An Overview of Data-Importance Aware Radio Resource Management for Edge Machine Learning
Dingzhu Wen, Xiaoyang Li, Qunsong Zeng +2
The 5G network connecting billions of Internet-of-Things (IoT) devices will make it possible to harvest an enormous amount of real-time mobile data. Furthermore, the 5G virtualizat…
Wirelessly Powered Data Aggregation for IoT via Over-the-Air Functional Computation: Beamforming and Power Control
Xiaoyang Li, Guangxu Zhu, Yi Gong +1
As a revolution in networking, Internet of Things (IoT) aims at automating the operations of our societies by connecting and leveraging an enormous number of distributed devices (e…
Optimizing Wirelessly Powered Crowd Sensing: Trading energy for data
Xiaoyang Li, Changsheng You, Sergey Andreev +2
To overcome the limited coverage in traditional wireless sensor networks, \emph{mobile crowd sensing} (MCS) has emerged as a new sensing paradigm. To achieve longer battery lives o…
Wirelessly Powered Crowd Sensing: Joint Power Transfer, Sensing, Compression, and Transmission
Xiaoyang Li, Changsheng You, Sergey Andreev +2
Leveraging massive numbers of sensors in user equipment as well as opportunistic human mobility, mobile crowd sensing (MCS) has emerged as a powerful paradigm, where prolonging bat…