Deep Reinforcement Learning for Multi-Objective Resource Allocation in Multi-Platoon Cooperative Vehicular Networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deep Reinforcement Learning for Multi-Objective Resource Allocation in Multi-Platoon Cooperative Vehicular Networks

Published:2023-09 Issue:9 Volume:22 Page:6185-6198
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Xu Yuanyuan¹,Zhu Kun²^ORCID,Xu Hu²,Ji Jiequ³^ORCID

Affiliation:

1. College of Computer and Information, Hohai University, Nanjing, China

2. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

3. Department of Electrical and Computer Engineering, University of Victoria, Victoria, Canada

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/10247109/10040608.pdf?arnumber=10040608

Reference47 articles.

1. Deep Reinforcement Learning for Resource Allocation in V2V Communications

2. A Comprehensive Survey of Multiagent Reinforcement Learning

3. Dynamic Proximity-Aware Resource Allocation in Vehicle-to-Vehicle (V2V) Communications

4. Multiuser Resource Allocation Maximizing the Perceived Quality

5. Graph-Based Resource Sharing in Vehicular Communication

Cited by 13 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. Energy-Efficient Resource Allocation for V2X Communications;IEEE Internet of Things Journal;2024-09-15

2. Joint Accuracy and Latency Optimization for Quantized Federated Learning in Vehicular Networks;IEEE Internet of Things Journal;2024-09-01

3. QoS and Fairness Oriented Dynamic Computation Offloading in the Internet of Vehicles Based on Estimate Time of Arrival;IEEE Transactions on Vehicular Technology;2024-07

4. Deep Reinforcement Learning for Sleep Control in 5G and Beyond Radio Access Networks: An Overview;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

5. Decomposition and Meta-DRL Based Multi-Objective Optimization for Asynchronous Federated Learning in 6G-Satellite Systems;IEEE Journal on Selected Areas in Communications;2024-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3