Quality of experience‐driven resource allocation in vehicular cloud long‐term evolution networks-Reference-Cited by-同舟云学术

Quality of experience‐driven resource allocation in vehicular cloud long‐term evolution networks

Published:2020-07-07 Issue:8 Volume:31 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Wu Guilu¹²³,Li Zhengquan¹,Jiang Huilin⁴

Affiliation:

1. School of Internet of Things EngineeringJiangnan University Wuxi China

2. National Mobile Communication Research LaboratorySoutheast University Nanjing China

3. Key Laboratory of Industrial Internet of Things and Networked ControlMinistry of Education, Chongqing University of Posts and Telecommunications Chongqing China

4. School of Electronic EngineeringNanjing Xiaozhuang University Nanjing China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4036

Reference33 articles.

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4. Autonomous‐driving vehicle test technology based on virtual reality;Yao S;J Eng,2018

5. Resource allocation for licensed and unlicensed spectrum in 5G heterogeneous networks

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