43 citations · 138 across the 29 of their papers we have counts for
6 papers · 1 filter
Optimizing Task-Specific Timeliness With Edge-Assisted Scheduling for Status Update
Jingzhou Sun, Lehan Wang, Zhaojun Nan +3
Intelligent real-time applications, such as video surveillance, demand intensive computation to extract status information from raw sensing data. This poses a substantial challenge…
MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks
Yuxuan Sun, Bowen Xie, Sheng Zhou +1
Edge intelligence is an emerging paradigm for real-time training and inference at the wireless edge, thus enabling mission-critical applications. Accordingly, base stations (BSs) a…
Edge Learning with Timeliness Constraints: Challenges and Solutions
Yuxuan Sun, Wenqi Shi, Xiufeng Huang +2
Future machine learning (ML) powered applications, such as autonomous driving and augmented reality, involve training and inference tasks with timeliness requirements and are commu…
Distributed Task Replication for Vehicular Edge Computing: Performance Analysis and Learning-based Algorithm
Yuxuan Sun, Sheng Zhou, Zhisheng Niu
In a vehicular edge computing (VEC) system, vehicles can share their surplus computation resources to provide cloud computing services. The highly dynamic environment of the vehicu…
Exploiting Moving Intelligence: Delay-Optimized Computation Offloading in Vehicular Fog Networks
Sheng Zhou, Yuxuan Sun, Zhiyuan Jiang +1
Future vehicles will have rich computing resources to support autonomous driving and be connected by wireless technologies. Vehicular fog networks (VeFN) have thus emerged to enabl…
E2M2: Energy Efficient Mobility Management in Dense Small Cells with Mobile Edge Computing
Jie Xu, Yuxuan Sun, Lixing Chen +1
Merging mobile edge computing with the dense deployment of small cell base stations promises enormous benefits such as a real proximity, ultra-low latency access to cloud functiona…