Autonomous Resource Slicing for Virtualized Vehicular Networks With D2D Communications Based on Deep Reinforcement Learning

IEEE Systems Journal ◽

10.1109/jsyst.2020.2982857 ◽

2020 ◽

Vol 14 (4) ◽

pp. 4694-4705

Author(s):

Guolin Sun ◽

Gordon Owusu Boateng ◽

Daniel Ayepah-Mensah ◽

Guisong Liu ◽

Jiang Wei

Keyword(s):

Reinforcement Learning ◽

Vehicular Networks ◽

D2d Communications

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Optimal Beam Association in mmWave Vehicular Networks with Parallel Reinforcement Learning

GLOBECOM 2020 - 2020 IEEE Global Communications Conference ◽

10.1109/globecom42002.2020.9348240 ◽

2020 ◽

Author(s):

Nguyen Van Huynh ◽

Diep N. Nguyen ◽

Dinh Thai Hoang ◽

Eryk Dutkiewicz

Keyword(s):

Reinforcement Learning ◽

Vehicular Networks ◽

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Deep Reinforcement Learning-Based Latency Minimization in Edge Intelligence over Vehicular Networks

IEEE Internet of Things Journal ◽

10.1109/jiot.2021.3078480 ◽

2021 ◽

pp. 1-1

Author(s):

Ning Zhao ◽

Hao Wu ◽

F. Richard Yu ◽

Lifu Wang ◽

Weiting Zhang ◽

...

Keyword(s):

Reinforcement Learning ◽

Vehicular Networks ◽

Latency Minimization

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Towards Cooperative Caching for Vehicular Networks with Multi-level Federated Reinforcement Learning

ICC 2021 - IEEE International Conference on Communications ◽

10.1109/icc42927.2021.9500714 ◽

2021 ◽

Author(s):

Lei Zhao ◽

Yongyi Ran ◽

Hao Wang ◽

Junxia Wang ◽

Jiangtao Luo

Keyword(s):

Reinforcement Learning ◽

Vehicular Networks ◽

Cooperative Caching ◽

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Reinforcement-Learning-Based Spatial Resource Identification for IoT D2D Communications

IEEE Systems Journal ◽

10.1109/jsyst.2021.3087167 ◽

2021 ◽

pp. 1-12

Author(s):

Woongsoo Na Na ◽

Nhu-Ngoc Dao ◽

Sungrae Cho Cho

Keyword(s):

Reinforcement Learning ◽

D2d Communications ◽

Resource Identification

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Deep Reinforcement Learning-Based Power Allocation for Ultra Reliable Low Latency Communications in Vehicular Networks

10.1109/iccc52777.2021.9580341 ◽

2021 ◽

Author(s):

Binbin Lu ◽

Haixia Zhang ◽

Tong Xue ◽

Shuaishuai Guo ◽

Hao Gai

Keyword(s):

Reinforcement Learning ◽

Power Allocation ◽

Vehicular Networks ◽

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Research of D2D Communications Mode for 5G Vehicular Networks

2019 IEEE International Conference on Communications Workshops (ICC Workshops) ◽

10.1109/iccw.2019.8756816 ◽

2019 ◽

Author(s):

Lijun Wang ◽

Jia Yan ◽

Kan Yu ◽

Dexiang Deng

Keyword(s):

Vehicular Networks ◽

D2d Communications

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A Survey on Multi-Agent Reinforcement Learning Methods for Vehicular Networks

2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC) ◽

10.1109/iwcmc.2019.8766739 ◽

2019 ◽

Author(s):

Ibrahim Althamary ◽

Chih-Wei Huang ◽

Phone Lin

Keyword(s):

Reinforcement Learning ◽

Vehicular Networks ◽

Learning Methods ◽

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Reinforcement Learning Empowered IDPS for Vehicular Networks in Edge Computing

IEEE Network ◽

10.1109/mnet.011.1900321 ◽

2020 ◽

Vol 34 (3) ◽

pp. 57-63 ◽

Author(s):

Muzhou Xiong ◽

Yuepeng Li ◽

Lin Gu ◽

Shengli Pan ◽

Deze Zeng ◽

...

Keyword(s):

Reinforcement Learning ◽

Vehicular Networks ◽

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Multi - Agent Reinforcement Learning for Spectrum Sharing in Vehicular Networks

2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) ◽

10.1109/spawc.2019.8815439 ◽

2019 ◽

Author(s):

Le Liang ◽

Hao Ye ◽

Geoffrey Ye Li

Keyword(s):

Reinforcement Learning ◽

Spectrum Sharing ◽

Vehicular Networks ◽

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UAV-assisted Online Video Downloading in Vehicular Networks: A Reinforcement Learning Approach

2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) ◽

10.1109/vtc2020-spring48590.2020.9128613 ◽

2020 ◽

Author(s):

Ke Zheng ◽

Yanglong Sun ◽

Zhiping Lin ◽

Yuliang Tang

Keyword(s):

Reinforcement Learning ◽

Vehicular Networks ◽

Learning Approach ◽

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