About this Journal Submit a Manuscript Table of Contents
Journal of Applied Mathematics
Volume 2013 (2013), Article ID 876191, 9 pages
http://dx.doi.org/10.1155/2013/876191
Research Article

Interference Control for Cognitive Network with High Mobility

State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

Received 19 April 2013; Revised 9 July 2013; Accepted 23 July 2013

Academic Editor: Chih-Hao Lin

Copyright © 2013 Yuanxuan Li 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.

Linked References

  1. FCC, Spectrum Policy Task Force, Proceedings of the Federal Communications Commission, Washington, DC, USA, 2002.
  2. J. Mitola, “Cognitive radio architecture evolution,” Proceedings of the IEEE, vol. 97, no. 4, pp. 626–641, 2009. View at Publisher · View at Google Scholar · View at Scopus
  3. O. Simeone, Y. Bar-Ness, and U. Spagnolini, “Stable throughput of cognitive radios with and without relaying capability,” IEEE Transactions on Communications, vol. 55, no. 12, pp. 2351–2360, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Mietzner, L. Lampe, and R. Schober, “Distributed transmit power allocation for multihop cognitive-radio systems,” IEEE Transactions on Wireless Communications, vol. 8, no. 10, pp. 5187–5201, 2009. View at Publisher · View at Google Scholar · View at Scopus
  5. M. Gastpar, “On capacity under receive and spatial spectrum-sharing constraints,” IEEE Transactions on Information Theory, vol. 53, no. 2, pp. 471–487, 2007. View at Publisher · View at Google Scholar · View at Scopus
  6. A. Goldsmith, S. A. Jafar, I. Maric, and S. Srinivasa, “Breaking spectrum gridlock with cognitive radios: an information theoretic perspective,” Proceedings of the IEEE, vol. 97, no. 5, pp. 894–914, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. H. Yao, Z. Zhou, H. Liu, and L. Zhang, “Optimal power allocation in joint spectrum underlay and overlay cognitive radio networks,” in Proceedings of the 4th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM '09), pp. 1–5, June 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. L. Le and E. Hossain, “Resource allocation for spectrum underlay in cognitive radio networks,” IEEE Transactions on Wireless Communications, vol. 7, no. 12, pp. 5306–5315, 2008. View at Publisher · View at Google Scholar · View at Scopus
  9. M. Z. Win, P. C. Pinto, and L. A. Shepp, “A mathematical theory of network interference and its applications,” Proceedings of the IEEE, vol. 97, no. 2, pp. 205–230, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. A. Rabbachin, T. Q. S. Quek, H. Shin, and M. Z. Win, “Cognitive network interference,” IEEE Journal on Selected Areas in Communications, vol. 29, no. 2, pp. 480–493, 2011. View at Publisher · View at Google Scholar · View at Scopus
  11. K. Guan, Z. Zhong, and B. Ai, “Assessment of LTE-R using high speed railway channel model,” in Proceedings of the 3rd IEEE International Conference on Communications and Mobile Computing (CMC '11), pp. 461–464, April 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. W. Qiu, B. Xie, H. Minn, and C. Chong, “Interference-controlled transmission schemes for cognitive radio in frequency-selective time-varying fading channels,” IEEE Transactions on Wireless Communications, vol. 11, no. 1, pp. 142–153, 2012. View at Publisher · View at Google Scholar · View at Scopus
  13. M. Patzold, Mobile Fading Channels, John Wiley & Sons, New York, NY, USA, 2002.
  14. M. B. Shenouda and T. N. Davidson, “Convex conic formulations of robust downlink precoder designs with quality of service constraints,” IEEE Journal on Selected Topics in Signal Processing, vol. 1, no. 4, pp. 714–724, 2007. View at Publisher · View at Google Scholar · View at Scopus