Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet
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Title
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet
Authors
Keywords
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Journal
IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 71, Issue 10, Pages 5893-5903
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2023-08-02
DOI
10.1109/tcomm.2023.3300331
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- (2019) Fei Liang et al. IEEE TRANSACTIONS ON COMMUNICATIONS
- Fractional Programming for Communication Systems—Part I: Power Control and Beamforming
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- Next Generation 5G Wireless Networks: A Comprehensive Survey
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- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- A Survey of 5G Network: Architecture and Emerging Technologies
- (2015) A. Gupta et al. IEEE Access
- Joint Resource Partitioning and Offloading in Heterogeneous Cellular Networks
- (2014) Sarabjot Singh et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
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- (2011) Qingjiang Shi et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Dynamic Spectrum Management: Complexity and Duality
- (2008) Zhi-Quan Luo et al. IEEE Journal of Selected Topics in Signal Processing
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