activity
20182025
most citedEnergy-Efficient UAV-Assisted Mobile Edge Computing: Resource Allocation and Trajectory Optimization

501 citations · 908 across the 19 of their papers we have counts for

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12 papers · 1 filter

cs.NI2025

Drift-Adaptive Slicing-Based Resource Management for Cooperative ISAC Networks

Shisheng Hu, Jie Gao, Xue Qin +5

In this paper, we propose a novel drift-adaptive slicing-based resource management scheme for cooperative integrated sensing and communication (ISAC) networks. Particularly, we est…

cs.NI2023

Digital Twin-Based User-Centric Edge Continual Learning in Integrated Sensing and Communication

Shisheng Hu, Jie Gao, Xinyu Huang +5

In this paper, we propose a digital twin (DT)-based user-centric approach for processing sensing data in an integrated sensing and communication (ISAC) system with high accuracy an…

cs.NI2023★ 22 cited

Digital Twin-based 3D Map Management for Edge-assisted Device Pose Tracking in Mobile AR

Conghao Zhou, Jie Gao, Mushu Li +3

Edge-device collaboration has the potential to facilitate compute-intensive device pose tracking for resource-constrained mobile augmented reality (MAR) devices. In this paper, we…

cs.NI2023★ 1 cited

Holistic Network Virtualization and Pervasive Network Intelligence for 6G

Xuemin, Shen, Jie Gao +4

In this tutorial paper, we look into the evolution and prospect of network architecture and propose a novel conceptual architecture for the 6th generation (6G) networks. The propos…

cs.NI2022★ 1 cited

Digital Twin-Driven Computing Resource Management for Vehicular Networks

Mushu Li, Jie Gao, Conghao Zhou +3

This paper presents a novel approach for computing resource management of edge servers in vehicular networks based on digital twins and artificial intelligence (AI). Specifically,…

cs.NI2021★ 3 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.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…

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…

cs.NI2020★ 2 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.NI2018

SMDP-based Downlink Packet Scheduling Scheme for Solar Energy Assisted Heterogeneous Networks

Qizhen Li, Jie Gao, Jinming Wen +3

Renewable energy assisted heterogeneous networks can improve system capacity and reduce conventional energy consumption. In this paper, we propose a semi-Markov decision process (S…