Convolutional LSTM-based Long-Term Spectrum Prediction for Dynamic Spectrum Access-Reference-Cited by-同舟云学术

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Convolutional LSTM-based Long-Term Spectrum Prediction for Dynamic Spectrum Access

Published:2019-09 Issue: Volume: Page:
ISSN:
Container-title:2019 27th European Signal Processing Conference (EUSIPCO)
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Author:

Shawel Bethelhem S.,Woldegebreal Dereje H.,Pollin Sofie

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8893974/8902336/08902956.pdf?arnumber=8902956

Cited by 46 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

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2. Enhanced Atrous Convolution-Gated Recurrent Unit for Spectrum Sensing in Cognitive Radio Network;SN Computer Science;2024-08-14

3. DSIL: An Effective Spectrum Prediction Framework Against Spectrum Concept Drift;IEEE Transactions on Cognitive Communications and Networking;2024-06

4. Effi-Ace: Efficient and Accurate Prediction for High-Resolution Spectrum Tenancy;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20

5. Spectrum Data Graph Structure Learning Based On Dual-View Contrastive Learning For Spectrum Prediction Of ISCC;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

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