Spectrum prediction using hidden Markov models for industrial cognitive radio
Author:
Affiliation:
1. Fraunhofer Institute for Embedded Systems and Communication Technologies ESK, Munich, Germany
2. Konstanz University of Applied Sciences, Konstanz, Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7750933/7762962/07763231.pdf?arnumber=7763231
Cited by 9 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. Joint Multidimensional Pattern for Spectrum Prediction Using GNN;Sensors;2023-11-01
2. Deep learning for Improved Spectrum Occupancy Prediction with Fading Estimation in 5G Radio;ICC 2023 - IEEE International Conference on Communications;2023-05-28
3. Research on Spectrum Prediction Technology Based on B-LTF;Electronics;2023-01-03
4. Predicting consecutive spectrum opportunities with hidden Markov models;Concurrency and Computation: Practice and Experience;2022-12-19
5. Optimal sequential decision rule for cooperative spectrum sensing of CUAVNs;Transactions on Emerging Telecommunications Technologies;2022-12-07
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