Efficient Trajectory Planning and Dynamic Resource Allocation for UAV-Enabled MEC System-Reference-Cited by-同舟云学术

Efficient Trajectory Planning and Dynamic Resource Allocation for UAV-Enabled MEC System

Published:2024-03 Issue:3 Volume:28 Page:597-601
ISSN:1089-7798
Container-title:IEEE Communications Letters
language:
Short-container-title:IEEE Commun. Lett.

Author:

Zeng Yaoping¹^ORCID,Chen Shisen¹^ORCID,Cui Yanpeng²^ORCID,Du Jianbo¹^ORCID

Affiliation:

1. Shaanxi Key Laboratory of Information Communication Network and Security, Xi’an University of Posts and Telecommunications, Xi’an, China

2. Key Laboratory of Universal Wireless Communications, Ministry of Education, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

Funder

Key Research and Development Project of Shaanxi Province

Xi’an University of Posts and Telecommunications Graduate Innovation Fund Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/4234/10466646/10410879.pdf?arnumber=10410879

Reference11 articles.

1. Hybrid NOMA Offloading in Multi-User MEC Networks

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

3. Energy-Efficient Task Offloading and Trajectory Design for UAV-based MEC Systems

4. Joint Computation Offloading and Trajectory Planning for UAV-Assisted Edge Computing

5. Toward Big Data Processing in IoT: Path Planning and Resource Management of UAV Base Stations in Mobile-Edge Computing System

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1. Energy-Efficient Task Offloading in Wireless-Powered MEC: A Dynamic and Cooperative Approach;Mathematics;2024-07-25

2. Smartphone-Based Task Scheduling in UAV Networks for Disaster Relief;Electronics;2024-07-23

3. A Systematic Mapping Study of UAV-Enabled Mobile Edge Computing for Task Offloading;IEEE Access;2024