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20192025
most citedEnergy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization

501 citations · 1k across the 25 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.LG2020

Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning

Wen Wu, Nan Chen, Conghao Zhou +4

In this paper, we investigate a radio access network (RAN) slicing problem for Internet of vehicles (IoV) services with different quality of service (QoS) requirements, in which mu…

cs.NI2020★ 1 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.SY2020★ 254 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.NI2020★ 501 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…