Intelligent Spectrum Occupancy Prediction for Realistic Measurements: GRU based Approach-Reference-Cited by-同舟云学术

Intelligent Spectrum Occupancy Prediction for Realistic Measurements: GRU based Approach

Published:2022-06-06 Issue: Volume: Page:
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Container-title:2022 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)
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Author:

Tusha Armed¹,Kaplan Batuhan²,Cirpan Hakan Ali³,Qaraqe Khalid⁴,Arslan Huseyin¹

Affiliation:

1. Istanbul Medipol University,Department of Electrical and Electronics Engineering,Istanbul,Turkey

2. Informatics and Information Security Research Center (BİLGEM), TÜBİTAK,Kocaeli,Turkey

3. Istanbul Technical University,Department of Electronics and Communication Engineering,Istanbul,Turkey

4. Texas A&M University at Qatar,Department of Electrical and Computer Engineering,Doha,Qatar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9858123/9858124/09858237.pdf?arnumber=9858237

Reference18 articles.

1. Energy-Efficient Distributed Relay and Power Control in Cognitive Radio Cooperative Communications

2. Signal classification with an SVM-FFT approach for feature ex-traction in cognitive radio;ramón;Proc Int Microwave and Optoelectronics Conf (IMOC),2009

3. Reinforcement learning based distributed multiagent sensing policy for cognitive radio networks

4. Spectrum prediction via long short term memory

5. Spectrum monitoring for radar bands using deep convo-lutional neural networks;selim;Proc IEEE Global Communications Conference (GLOBECOM),2017

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