9 citations · 17 across the 11 of their papers we have counts for
11 papers
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 Optimization of File Placement and Delivery in Cache-Assisted Wireless Networks with Limited Lifetime and Cache Space
Bojie Lv, Rui Wang, Ying Cui +2
In this paper, the scheduling of downlink file transmission in one cell with the assistance of cache nodes with finite cache space is studied. Specifically, requesting users arrive…
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…
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…
Resource Allocation for a Full-Duplex Base Station Aided OFDMA System
Yang You, Chong Qin, Yi Gong
Exploiting full-duplex (FD) technology on base stations (BSs) is a promising solution to enhancing the system performance. Motivated by this, we revisit a full-duplex base station…
A Joint Resource Allocation Scheme for Multi-User Full-Duplex OFDMA Systems
Yang You, Chong Qin, Yi Gong
Full-duplex is a promising technology and great system performance enhancement can be achieved especially when we apply it to base stations. In this paper, we consider a Multi-User…
A Diplexer-Based Receiver for Simultaneous Wireless Information and Power Transfer
Chong Qin, Yi Gong, Zhi Quan
Simultaneous wireless information and power transfer (SWIPT) is an appealing research area because both information and energy can be delivered to wireless devices simultaneously.…
Cognitive Beamforming for Multiple Secondary Data Streams With Individual SNR Constraints
Sheng-Ming Cai, Yi Gong
In this paper, we consider cognitive beamforming for multiple secondary data streams subject to individual signal-to-noise ratio (SNR) requirements for each secondary data stream.…