Dynamic Power Allocation for Cell-Free Massive MIMO: Deep Reinforcement Learning Methods

IEEE Access ◽

10.1109/access.2021.3097243 ◽

2021 ◽

Vol 9 ◽

pp. 102953-102965

Author(s):

Yu Zhao ◽

Ignas G. Niemegeers ◽

Sonia M. Heemstra De Groot

Keyword(s):

Reinforcement Learning ◽

Power Allocation ◽

Massive Mimo ◽

Learning Methods ◽

Dynamic Power

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Deep Reinforcement Learning for Dynamic Power Allocation in Cell-free mmWave Massive MIMO

Proceedings of the 18th International Conference on Wireless Networks and Mobile Systems ◽

10.5220/0010617300330045 ◽

2021 ◽

Author(s):

Yu Zhao ◽

Ignas Niemegeers ◽

Sonia Heemstra de Groot

Keyword(s):

Reinforcement Learning ◽

Power Allocation ◽

Massive Mimo ◽

Dynamic Power

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Deep Reinforcement Learning for Dynamic Power Allocation in Cell-free mmWave Massive MIMO

10.5220/0010617300002999 ◽

2021 ◽

Author(s):

Yu Zhao ◽

Ignas Niemegeers ◽

Sonia Heemstra de Groot

Keyword(s):

Reinforcement Learning ◽

Power Allocation ◽

Massive Mimo ◽

Dynamic Power

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A Dynamic Power Allocation Scheme in Power-Domain NOMA using Actor-Critic Reinforcement Learning

2018 IEEE/CIC International Conference on Communications in China (ICCC) ◽

10.1109/iccchina.2018.8641248 ◽

2018 ◽

Cited By ~ 4

Author(s):

Shaomin Zhang ◽

Lixin Li ◽

Jiaying Yin ◽

Wei Liang ◽

Xu Li ◽

...

Keyword(s):

Reinforcement Learning ◽

Power Allocation ◽

Allocation Scheme ◽

Dynamic Power ◽

Power Domain

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Deep Q-network based dynamic power allocation for cell-free massive MIMO

10.1109/camad52502.2021.9617768 ◽

2021 ◽

Author(s):

Yu Zhao ◽

Ignas G. Niemegeers ◽

Sonia Heemstra De Groot

Keyword(s):

Power Allocation ◽

Massive Mimo ◽

Dynamic Power

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Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks

IEEE Journal on Selected Areas in Communications ◽

10.1109/jsac.2019.2933973 ◽

2019 ◽

Vol 37 (10) ◽

pp. 2239-2250 ◽

Cited By ~ 30

Author(s):

Yasar Sinan Nasir ◽

Dongning Guo

Keyword(s):

Wireless Networks ◽

Reinforcement Learning ◽

Power Allocation ◽

Dynamic Power ◽

Multi Agent

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Dynamic Power Allocation with Constant Envelope Transmission for Next Generation Software-Defined GPS Payloads

Proceedings of the 2018 International Technical Meeting of The Institute of Navigation ◽

10.33012/2018.15560 ◽

2018 ◽

Author(s):

Seeley Pentecost ◽

Sanjeev Gunawardena

Keyword(s):

Power Allocation ◽

Next Generation ◽

Dynamic Power ◽

Constant Envelope

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Reinforcement Learning based Per-antenna Discrete Power Control for Massive MIMO Systems

2020 54th Asilomar Conference on Signals, Systems, and Computers ◽

10.1109/ieeeconf51394.2020.9443383 ◽

2020 ◽

Author(s):

Navneet Garg ◽

Mathini Sellathurai ◽

Tharmalingam Ratnarajah

Keyword(s):

Reinforcement Learning ◽

Power Control ◽

Massive Mimo ◽

Mimo Systems

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Reinforcement Learning-based Energy-Efficient Power Allocation for Underwater Full-Duplex Relay Network with Energy Harvesting

2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall) ◽

10.1109/vtc2020-fall49728.2020.9348634 ◽

2020 ◽

Author(s):

Ranning Wang ◽

Esraa A. Makled ◽

Animesh Yadav ◽

Octavia A. Dobre ◽

Ruiqin Zhao

Keyword(s):

Reinforcement Learning ◽

Energy Harvesting ◽

Power Allocation ◽

Energy Efficient ◽

Full Duplex ◽

Relay Network ◽

Efficient Power ◽

Full Duplex Relay

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Continuity and Smoothness Analysis and Possible Improvement of Traditional Reinforcement Learning Methods

2020 IEEE International Conference on Mechatronics and Automation (ICMA) ◽

10.1109/icma49215.2020.9233547 ◽

2020 ◽

Author(s):

Tianhao Chen ◽

Wenchuan Jia ◽

Jianjun Yuan ◽

Shugen Ma ◽

Limei Cheng

Keyword(s):

Reinforcement Learning ◽

Learning Methods

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Reinforcement Learning Methods on Optimization Problems of Natural Gas Pipeline Networks

2020 4th International Conference on Smart Grid and Smart Cities (ICSGSC) ◽

10.1109/icsgsc50906.2020.9248563 ◽

2020 ◽

Author(s):

Dong Yang ◽

Siyun Yan ◽

Dengji Zhou ◽

Tiemin Shao ◽

Lin Zhang ◽

...

Keyword(s):

Reinforcement Learning ◽

Natural Gas ◽

Optimization Problems ◽

Gas Pipeline ◽

Learning Methods ◽

Natural Gas Pipeline ◽

Pipeline Networks

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