Edge Intelligence for Multi-Dimensional Resource Management in Aerial-Assisted Vehicular Networks

Haixia Peng; Huaqing Wu; Xuemin Sherman Shen

doi:10.1109/MWC.101.2100056

Edge Intelligence for Multi-Dimensional Resource Management in Aerial-Assisted Vehicular Networks

Haixia Peng
, Huaqing Wu
, Xuemin Sherman Shen

California State University Long Beach
University of Waterloo

Research output: Contribution to journal › Article › peer-review

29 Scopus citations

Abstract

A new architecture with drone-assisted multi-access edge computing (MEC) is proposed for vehicular networks to support computation-intensive and delay-sensitive applications and services. Artificial intelligence (AI)-based resource management schemes are developed such that terrestrial and aerial spectrum, computing, and storage resources can be cooperatively allocated for guaranteeing the quality of service requirements from different applications. A case study on the joint management of the spectrum and computing resources is presented to demonstrate the effectiveness of AI-based resource management schemes.

Original language	English
Pages (from-to)	59-65
Number of pages	7
Journal	IEEE Wireless Communications
Volume	28
Issue number	5
DOIs	https://doi.org/10.1109/MWC.101.2100056
State	Published - 1 Oct 2021
Externally published	Yes

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10.1109/MWC.101.2100056

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abstract = "A new architecture with drone-assisted multi-access edge computing (MEC) is proposed for vehicular networks to support computation-intensive and delay-sensitive applications and services. Artificial intelligence (AI)-based resource management schemes are developed such that terrestrial and aerial spectrum, computing, and storage resources can be cooperatively allocated for guaranteeing the quality of service requirements from different applications. A case study on the joint management of the spectrum and computing resources is presented to demonstrate the effectiveness of AI-based resource management schemes.",

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Edge Intelligence for Multi-Dimensional Resource Management in Aerial-Assisted Vehicular Networks

Abstract

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