Knowledge-Driven Resource Allocation for Efficient Task Offloading in Connected Autonomous Vehicles-Reference-Cited by-同舟云学术

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Knowledge-Driven Resource Allocation for Efficient Task Offloading in Connected Autonomous Vehicles

Published:2023-12-04 Issue: Volume: Page:2081-2086
ISSN:
Container-title:GLOBECOM 2023 - 2023 IEEE Global Communications Conference
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Author:

Wen Yao¹,Sun Ruijin¹,Cheng Nan¹,Zhou Haibo²,Quan Wei³,Hui Yilong¹,Fu Yuchuan¹,Li Changle¹

Affiliation:

1. School of Telecommunications Engineering, Xidian University,Xi'an,China,710071

2. School of Electronic Science and Engineering, Nanjing University,Nanjing,China,210008

3. School of Electronic and Information Engineering, Beijing Jiaotong University,Beijing,China,100044

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China (NSFC)

National Key RD Program of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437017.pdf?arnumber=10437017

Reference11 articles.

1. A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms

2. Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network-Based Approach

3. Computation offloading game for an UAV network in mobile edge computing

4. AI-Native Network Slicing for 6G Networks

5. Optimal delay constrained offloading for vehicular edge computing networks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning for Real-Time Fuel Consumption Prediction and Driving Profile Classification Based on ECU Data;IEEE Access;2024

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