Reinforcement learning based distributed multiagent sensing policy for cognitive radio networks-Reference-Cited by-同舟云学术

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Reinforcement learning based distributed multiagent sensing policy for cognitive radio networks

Published:2011-05 Issue: Volume: Page:
ISSN:
Container-title:2011 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
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Author:

Lunden Jarmo,Koivunen Visa,Kulkarni Sanjeev R.,Poor H. Vincent

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5910696/5936192/05936261.pdf?arnumber=5936261

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Grasshopper Optimization-based Particle Swarm Algorithm for Effective Spectrum Sensing in Cognitive Radio Networks;KSII Transactions on Internet and Information Systems;2023-02-28

2. A Review on Reinforcement Learning enabled Cooperative Spectrum Sensing;2023 International Conference on Information Networking (ICOIN);2023-01-11

3. Combining Contention-Based Spectrum Access and Adaptive Modulation using Deep Reinforcement Learning;2022 56th Asilomar Conference on Signals, Systems, and Computers;2022-10-31

4. Intelligent Spectrum Occupancy Prediction for Realistic Measurements: GRU based Approach;2022 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom);2022-06-06

5. Accurate Spectrum Prediction Based on Joint LSTM with CNN toward Spectrum Sharing;2021 IEEE Global Communications Conference (GLOBECOM);2021-12

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