Statistical spectrum occupancy prediction for dynamic spectrum access: a classification-Reference-Cited by-同舟云学术

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Statistical spectrum occupancy prediction for dynamic spectrum access: a classification

Published:2018-02-05 Issue:1 Volume:2018 Page:
ISSN:1687-1499
Container-title:EURASIP Journal on Wireless Communications and Networking
language:en
Short-container-title:J Wireless Com Network

Author:

Eltom Hamid^ORCID,Kandeepan Sithamparanathan,Evans Robin J.,Liang Ying Chang,Ristic Branko

Funder

Australian Research Council

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Signal Processing

Link

http://link.springer.com/article/10.1186/s13638-017-1019-8/fulltext.html

Reference112 articles.

1. IF Akyildiz, W-Y Lee, MC Vuran, S Mohanty, NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Comput. Netw. 50(13), 2127–2159 (2006). https://doi.org/10.1016/j.comnet.2006.05.001 .

2. C Baylis, M Fellows, L Cohen, RJM II, Solving the spectrum crisis: intelligent, reconfigurable microwave transmitter amplifiers for cognitive radar. IEEE Microw. Mag. 15(5), 94–107 (2014). https://doi.org/10.1109/mmm.2014.2321253 .

3. YC Liang, KC Chen, GY Li, P Mahonen, Cognitive radio networking and communications: an overview. IEEE Trans. Veh. Technol. 60(7), 3386–3407 (2011). https://doi.org/10.1109/TVT.2011.2158673 .

4. IF Akyildiz, W-Y Lee, MC Vuran, S Mohanty, A survey on spectrum management in cognitive radio networks. IEEE Commun. Mag. 46(4), 40–48 (2008). https://doi.org/10.1109/mcom.2008.4481339 .

5. X Xing, T Jing, W Cheng, Y Huo, X Cheng, Spectrum prediction in cognitive radio networks. IEEE Wirel. Commun.20(2), 90–96 (2013). https://doi.org/10.1109/mwc.2013.6507399 .

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