Learning-Based Load-Aware Heterogeneous Vehicular Edge Computing-Reference-Cited by-同舟云学术

Learning-Based Load-Aware Heterogeneous Vehicular Edge Computing

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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Author:

Zhu Lei¹,Zhang Zhizhong²,Lin Peng²,Shafiq Omair³,Zhang Yu²,Yu F. Richard³

Affiliation:

1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications,Chongqing,China,400065

2. School of Electronic and Information Engineering, Nanjing University of Information Science and Technology,Nanjing,China,210044

3. Carleton University,Department of Systems and Computer Engineering,Ottawa,ON,Canada,K1S 5B6

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001192.pdf?arnumber=10001192

Reference20 articles.

1. Joint communication and computation resource scheduling of a UAV-assisted mobile edge computing system for platooning vehicles;liu;IEEE Trans Intell Transp Syst,2021

2. Caching and Computation Offloading in High Altitude Platform Station (HAPS) Assisted Intelligent Transportation Systems

3. Channel Estimation and Hybrid Precoding for Distributed Phased Arrays Based MIMO Wireless Communications

4. Computation Offloading and Resource Allocation For Cloud Assisted Mobile Edge Computing in Vehicular Networks

5. A Beamforming Method Based on Polarization Matching

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