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The Scientific World Journal
Volume 2014, Article ID 395212, 11 pages
http://dx.doi.org/10.1155/2014/395212
Research Article

SVM-Based Spectrum Mobility Prediction Scheme in Mobile Cognitive Radio Networks

1Communication Research Center, Harbin Institute of Technology, Harbin 150080, China
2Communication Department, Shenyang Artillery Academy, Shenyang 110867, China

Received 27 December 2013; Accepted 19 February 2014; Published 30 March 2014

Academic Editors: H. R. Karimi, Z. Yu, and W. Zhang

Copyright © 2014 Yao Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Shivangi Dubey, Ranjan Gangopadhyay, Anirudh Agarwal, Mohd. Asif Khan, and Soumitra Debnath, “Learning based primary user activity prediction in cognitive radio networks for efficient dynamic spectrum access,” 2016 International Conference on Signal Processing and Communications, SPCOM 2016, 2016. View at Publisher · View at Google Scholar
  • Koushik A. M., John D. Matyjas, Fei Hu, and Sunil Kumar, “Channel/Beam Handoff Control in Multi-Beam Antenna Based Cognitive Radio Networks,” IEEE Transactions on Cognitive Communications and Networking, vol. 4, no. 1, pp. 30–42, 2018. View at Publisher · View at Google Scholar
  • Guoru Ding, Yutao Jiao, Jinlong Wang, Yulong Zou, Qihui Wu, Yu-Dong Yao, and Lajos Hanzo, “Spectrum Inference in Cognitive Radio Networks: Algorithms and Applications,” IEEE Communications Surveys & Tutorials, vol. 20, no. 1, pp. 150–182, 2018. View at Publisher · View at Google Scholar