activity
20182023
most citedEnergy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization

501 citations · 762 across the 9 of their papers we have counts for

collaborators

13 papers

cs.NI20213 cited

Slicing-Based AI Service Provisioning on Network Edge

Mushu Li, Jie Gao, Conghao Zhou +3

Edge intelligence leverages computing resources on network edge to provide artificial intelligence (AI) services close to network users. As it enables fast inference and distribute…

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…

cs.NI20201 cited

MAC for Machine Type Communications in Industrial IoT -- Part II: Scheduling and Numerical Results

Jie Gao, Mushu Li, Weihua Zhuang +3

In the second part of this paper, we develop a centralized packet transmission scheduling scheme to pair with the protocol designed in Part I and complete our medium access control…

cs.NI2020

MAC for Machine Type Communications in Industrial IoT -- Part I: Protocol Design and Analysis

Jie Gao, Weihua Zhuang, Mushu Li +3

In this two-part paper, we propose a novel medium access control (MAC) protocol for machine-type communications in the industrial internet of things. The considered use case featur…

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…