activity
20172021
most citedEnergy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization

501 citations · 765 across the 5 of their papers we have counts for

collaborators

11 papers

cs.IT2021

Collaborative Multi-Resource Allocation in Terrestrial-Satellite Network Towards 6G

Shu Fu, Jie Gao, Lian Zhao

Terrestrial-satellite networks are envisioned to play a significant role in the sixth-generation (6G) wireless networks. In such networks, hot air balloons are useful as they can r…

eess.SY2020254 cited

Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks

Mushu Li, Jie Gao, Lian Zhao +1

Mobile edge computing (MEC) is a promising technology to support mission-critical vehicular applications, such as intelligent path planning and safety applications. In this paper,…

cs.NI2020501 cited

Energy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization

Mushu Li, Nan Cheng, Jie Gao +4

In this paper, we study unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) with the objective to optimize computation offloading with minimum UAV energy consumption…

cs.NI20202 cited

Low-Latency and Fresh Content Provision in Information-Centric Vehicular Networks

Shan Zhang, Junjie Li, Hongbin Luo +4

In this paper, the content service provision of information-centric vehicular networks (ICVNs) is investigated from the aspect of mobile edge caching, considering the dynamic drivi…

cs.NI2020

The Design of Dynamic Probabilistic Caching with Time-Varying Content Popularity

Jie Gao, Shan Zhang, Lian Zhao +2

In this paper, we design dynamic probabilistic caching for the scenario when the instantaneous content popularity may vary with time while it is possible to predict the average con…

cs.OS2019

The Study of Dynamic Caching via State Transition Field -- the Case of Time-Varying Popularity

Jie Gao, Lian Zhao, Xuemin +1

In the second part of this two-part paper, we extend the study of dynamic caching via state transition field (STF) to the case of time-varying content popularity. The objective of…