40 citations · 65 across the 8 of their papers we have counts for
8 papers
Value-based Proactive Caching for Sensing Data in Vehicular Networks: An Operator's Perspective
Yantong Wang, Ke Liu, Hui Ji +1
Access to sensing data (SD) is crucial for vehicular networks to ensure safe and efficient transportation services. Given the vast volume of data involved, proactive caching requir…
Cost-Efficient Computation Offloading and Service Chain Caching in LEO Satellite Networks
Yantong Wang, Chuanfen Feng, Jiande Sun
The ever-increasing demand for ubiquitous, continuous, and high-quality services poses a great challenge to the traditional terrestrial network. To mitigate this problem, the mobil…
A Minmax Utilization Algorithm for Network Traffic Scheduling of Industrial Robots
Yantong Wang, Vasilis Friderikos, Sebastian Andraos
Emerging 5G and beyond wireless industrial virtualized networks are expected to support a significant number of robotic manipulators. Depending on the processes involved, these ind…
Learning from Images: Proactive Caching with Parallel Convolutional Neural Networks
Yantong Wang, Ye Hu, Zhaohui Yang +3
With the continuous trend of data explosion, delivering packets from data servers to end users causes increased stress on both the fronthaul and backhaul traffic of mobile networks…
Energy-Efficient Proactive Caching with Multipath Routing
Yantong Wang, Vasilis Friderikos
The ever-continuing explosive growth of on-demand content distribution has imposed great pressure on mobile/wireless network infrastructures. To ease congestion in the network and…
A Survey of Deep Learning for Data Caching in Edge Network
Yantong Wang, Vasilis Friderikos
The concept of edge caching provision in emerging 5G and beyond mobile networks is a promising method to deal both with the traffic congestion problem in the core network as well a…
Network Orchestration in Mobile Networks via a Synergy of Model-driven and AI-based Techniques
Yantong Wang, Vasilis Friderikos
As data traffic volume continues to increase, caching of popular content at strategic network locations closer to the end user can enhance not only user experience but ease the uti…
Caching as an Image Characterization Problem using Deep Convolutional Neural Networks
Yantong Wang, Vasilis Friderikos
Caching of popular content closer to the mobile user can significantly increase overall user experience as well as network efficiency by decongesting backbone network segments in t…