A Graph Convolutional Network-Based Deep Reinforcement Learning Approach for Resource Allocation in a Cognitive Radio Network
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Title
A Graph Convolutional Network-Based Deep Reinforcement Learning Approach for Resource Allocation in a Cognitive Radio Network
Authors
Keywords
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Journal
SENSORS
Volume 20, Issue 18, Pages 5216
Publisher
MDPI AG
Online
2020-09-14
DOI
10.3390/s20185216
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- (2018) Helin Yang et al. IEEE PHOTONICS TECHNOLOGY LETTERS
- Fair Optimal Resource Allocation in Cognitive Radio Networks With Co-channel Interference Mitigation
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- (2017) Manal El Tanab et al. IEEE Communications Surveys and Tutorials
- Machine Learning Paradigms for Next-Generation Wireless Networks
- (2017) Chunxiao Jiang et al. IEEE WIRELESS COMMUNICATIONS
- Recent advances on artificial intelligence and learning techniques in cognitive radio networks
- (2015) Nadine Abbas et al. EURASIP Journal on Wireless Communications and Networking
- Energy-Efficient Resource Assignment and Power Allocation in Heterogeneous Cloud Radio Access Networks
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- Resource Allocation for Interweave and Underlay CRs Under Probability-of-Interference Constraints
- (2012) Antonio G. Marques et al. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
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- (2010) An He et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
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