Open Access
Issue
MATEC Web of Conferences
Volume 56, 2016
2016 8th International Conference on Computer and Automation Engineering (ICCAE 2016)
Article Number 05010
Number of page(s) 6
Section Modern Communication Technology and Applications
DOI https://doi.org/10.1051/matecconf/20165605010
Published online 26 April 2016
  1. C. Kim, C. Leem, S. Kang, “Policy and technology of dynamic spectrum access in Korea,” 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, pp. 1–4, 2008, doi: 10.1109/CROWNCOM.2008.4562456. [Google Scholar]
  2. M. Mchenry, E. Livsics, T. Nguyen, “XG dynamic spectrum access field test results,” IEEE Communication Magazine, pp. 51–57,Jun. 2007. [CrossRef] [Google Scholar]
  3. J. Revathy, M. Senthil, “Resource allocation in next generation networks using game theory,” 2014 International Conference on Information Communication and Embedded Systems (ICICES), pp. 1–4. [Google Scholar]
  4. Z. Wu, P. Cheng, X. Wang, “Cooperative spectrum allocation for cognitive radio network: an evolutionary approach,” 2011 IEEE International Conference on Communications (ICC), pp. 1–5. [Google Scholar]
  5. Y. Li, L. Zhao, C. Wang, “Aggregation-based spectrum allocation algorithm in cognitive radio networks,” Network Operations and Management Symposium (NOMS), IEEE, pp. 506–509. [Google Scholar]
  6. A. Plummer, S. Biswas, “Distributed spectrum assignment for cognitive networks with heterogeneous spectrum opportunities,” Wireless Communications and Mobile Computing, pp. 1239–1253, Sep. 2011. [CrossRef] [Google Scholar]
  7. F. Wu, Y. Mao, S. Leng, “A carrier aggregation based resource allocation scheme for pervasive wireless networks,” 2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing (DASC), IEEE, pp. 196–201. [Google Scholar]
  8. C. Li, W. Liu, Q. Liu, “Spectrum aggregation based spectrum allocation for cognitive radio networks,” Wireless Communications and Networking Conference (WCNC), IEEE, pp. 1626–1631. [Google Scholar]
  9. Y. Song, C. Zhang, Y. Fang, “Multiple multidimensional knapsack problem and its applications in cognitive radio networks,” Military Communications Conference, MILCOM. pp. 1–7. [Google Scholar]
  10. P. Setoodeh, S. Haykin, “Robust transmit power control for cognitive radio,” Proc. of the IEEE, vol. 97, no.5, pp. 915–939, May. 2009. [CrossRef] [Google Scholar]
  11. S. Sun, W. Ni, Y. Zhu, “Robust power control in cognitive radio networks: a distributed way,” 2011 IEEE International Conference on Communications (ICC), pp. 1–6. [Google Scholar]
  12. S. Parsaeefard, A. Sharafat, “Robust distributed power control in cognitive radio networks,” IEEE Transactions on Mobile Computing, pp. 609–620, Apr. 2013. [CrossRef] [Google Scholar]
  13. J. Misic, V. Misic, “Probability distribution of spectral hole duration in cognitive networks,” INFOCOM, 2014 Proc. IEEE. pp. 2103–2111. [Google Scholar]
  14. Y. Saleem, M. Rehmani, “Primary radio user activity models for cognitive radio networks: A survey,” Journal of Network and Computer Applications, pp. 1–16, Mar. 2014. [CrossRef] [Google Scholar]
  15. G. Casella, R. Berger, “Statistical inference. Pacific Grove,” CA: Duxbury, 2002. [Google Scholar]
  16. M. Abramowitz, S. Irene, “Handbook of mathematical functions: with formulas, graphs, and mathematical tables,” Courier Corporation, 1964. [Google Scholar]
  17. S. Martello, P. Toth, “Knapsack problems: algorithms and computer implementations,” John Wiley Sons, 1990. [Google Scholar]
  18. Y. Wang, K. Pedersen, T. Sorensen, “Utility Maximization in LTE-Advanced Systems with Carrier Aggregation,” 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), pp. 1–5. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.