Optimization of cache-enabled opportunistic interference alignment wireless networks: A big data deep reinforcement learning approach

2017 IEEE International Conference on Communications (ICC) ◽

10.1109/icc.2017.7996332 ◽

2017 ◽

Author(s):

Ying He ◽

Chengchao Liang ◽

F. Richard Yu ◽

Nan Zhao ◽

Hongxi Yin

Keyword(s):

Wireless Networks ◽

Big Data ◽

Reinforcement Learning ◽

Interference Alignment ◽

Learning Approach

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A Big Data Deep Reinforcement Learning Approach to Next Generation Green Wireless Networks

GLOBECOM 2017 - 2017 IEEE Global Communications Conference ◽

10.1109/glocom.2017.8254717 ◽

2017 ◽

Author(s):

Ying He ◽

Zheng Zhang ◽

Yanhua Zhang

Keyword(s):

Wireless Networks ◽

Big Data ◽

Reinforcement Learning ◽

Learning Approach ◽

Next Generation

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A Decentralized Multi-agent Reinforcement Learning Approach for Resource Sharing and Allocation in Renewable Energy Powered Wireless Networks

Communications in Computer and Information Science - Artificial Intelligence and Security ◽

10.1007/978-981-15-8101-4_57 ◽

2020 ◽

pp. 640-651

Author(s):

Yu Gong ◽

Yifei Wei ◽

Qiao Li ◽

Lianping Zhang ◽

Xiaojun Wang

Keyword(s):

Wireless Networks ◽

Renewable Energy ◽

Reinforcement Learning ◽

Resource Sharing ◽

Learning Approach ◽

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Buffer-Aware Streaming in Small-Scale Wireless Networks: A Deep Reinforcement Learning Approach

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2019.2909055 ◽

2019 ◽

Vol 68 (7) ◽

pp. 6891-6902 ◽

Author(s):

Yashuang Guo ◽

F. Richard Yu ◽

Jianping An ◽

Kai Yang ◽

Ying He ◽

...

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Small Scale ◽

Learning Approach

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Deep Reinforcement Learning for Interference Alignment Wireless Networks

Deep Reinforcement Learning for Wireless Networks - SpringerBriefs in Electrical and Computer Engineering ◽

10.1007/978-3-030-10546-4_3 ◽

2019 ◽

pp. 21-44

Author(s):

F. Richard Yu ◽

Ying He

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Interference Alignment

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Multi-user Adaptive Video Delivery over Wireless Networks: A Physical Layer Resource-Aware Deep Reinforcement Learning Approach

IEEE Transactions on Circuits and Systems for Video Technology ◽

10.1109/tcsvt.2020.2980587 ◽

2020 ◽

pp. 1-1

Author(s):

Kexin Tang ◽

Nuowen Kan ◽

Junni Zou ◽

Chenglin Li ◽

Xiao Fu ◽

...

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Physical Layer ◽

Learning Approach ◽

Video Delivery ◽

Adaptive Video ◽

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Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach

IEEE Communications Magazine ◽

10.1109/mcom.2017.1700246 ◽

2017 ◽

Vol 55 (12) ◽

pp. 31-37 ◽

Author(s):

Ying He ◽

F. Richard Yu ◽

Nan Zhao ◽

Victor C. M. Leung ◽

Hongxi Yin

Keyword(s):

Big Data ◽

Reinforcement Learning ◽

Smart Cities ◽

Edge Computing ◽

Learning Approach ◽

Software Defined Networks ◽

Mobile Edge Computing

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Reinforcement learning approach to dynamic activation of base station resources in wireless networks

2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) ◽

10.1109/pimrc.2013.6666710 ◽

2013 ◽

Author(s):

Peng-Yong Kong ◽

Dorin Panaitopol

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Base Station ◽

Learning Approach

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A Reinforcement-Learning Approach to Proactive Caching in Wireless Networks

IEEE Journal on Selected Areas in Communications ◽

10.1109/jsac.2018.2844985 ◽

2018 ◽

Vol 36 (6) ◽

pp. 1331-1344 ◽

Author(s):

Samuel O. Somuyiwa ◽

Andras Gyorgy ◽

Deniz Gunduz

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Learning Approach

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Delay Minimization in Multi-UAV Assisted Wireless Networks: A Reinforcement Learning Approach

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Artificial Intelligence for Communications and Networks ◽

10.1007/978-3-030-69066-3_22 ◽

2021 ◽

pp. 249-259

Author(s):

Chenyu Wu ◽

Xuemai Gu ◽

Shuo Shi

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Learning Approach ◽

Delay Minimization ◽

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360° Mulsemedia Experience over Next Generation Wireless Networks - A Reinforcement Learning Approach

2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX) ◽

10.1109/qomex.2018.8463409 ◽

2018 ◽

Author(s):

Ioan-Sorin Comsa ◽

Ramona Trestian ◽

Gheorghita Ghinea

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Learning Approach ◽

Next Generation ◽

Next Generation Wireless Networks

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