Reducing Computational Complexity of Eigenvalue Based Spectrum Sensing for Cognitive Radio-Reference-Cited by-同舟云学术

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Reducing Computational Complexity of Eigenvalue Based Spectrum Sensing for Cognitive Radio

Published:2013 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th International Conference on Cognitive Radio Oriented Wireless Networks
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Author:

Dikmese Sener,Wong Jiunn,Gokceoglu Ahmet,Guzzon Elena,Valkama Mikko,Renfors Markku

Publisher

ICST

Cited by 8 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. LoRa Signal Monitoring System of Multi-Node Software Define Radio;2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW);2020-04

2. Primary User Traffic Pattern Based Opportunistic Spectrum Handoff in Cognitive Radio Networks;Applied Sciences;2020-03-02

3. An integrated performance evaluation of ED-based spectrum sensing over α −κ − μ and α −κ − μ -Extreme fading channels;Transactions on Emerging Telecommunications Technologies;2019-02-13

4. An improved dual threshold DMM cooperative spectrum sensing algorithm;Proceedings of the 4th International Conference on Communication and Information Processing - ICCIP '18;2018

5. Cognitive radio signal classification based on subspace decomposition and RBF neural networks;Wireless Networks;2016-09-27

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