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The Scientific World Journal
Volume 2013 (2013), Article ID 143970, 6 pages
http://dx.doi.org/10.1155/2013/143970
Research Article

Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis

1Radio Technology Research Department, Electronics and Telecommunications Research Institute, 138 Gajeongno, Yuseong-gu, Daejeon 305-700, Republic of Korea
2School of the Electronics Engineering, Kyungpook National University, Sankyuk-dong, Puk-gu, Daegu 702-701, Republic of Korea

Received 5 August 2013; Accepted 7 October 2013

Academic Editors: A. Kaloxylos, E. Stevens-Navarro, and G. Wang

Copyright © 2013 Ho-Kyung Son and Che-Young Kim. 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. H. Haas, S. McLaughlin, and G. J. R. Povey, “An investigation on capacity versus guard-bands in the TDD mode of UMTS,” in Proceedings of the 52nd IEEE Vehicular Technology Conference (VTC '00), vol. 4, pp. 1820–1824, September 2000. View at Scopus
  2. K. Heiska, K. Rikkinen, P. Muszynski, and U. Schwarz, “Modeling of UE-UE interference at 2.5 GHz WCDMA,” in Proceedings of the 14th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC '03), pp. 69–73, September 2003. View at Publisher · View at Google Scholar · View at Scopus
  3. H. K. Son, “Throughput effects of the LTE DL due to LTE UE,” International Symposium Antenna and Propagation, vol. 1, pp. 639–642, 2010. View at Google Scholar
  4. ECC, “Derivation of a block edge mask (BEM) for terminal stations in the 2. 6–GHz frequency band (2500–2690–MHz),” ECC Report 131, 2009. View at Google Scholar
  5. Y. Wang and K. Chang, “Adjacent channel interference reduction for M-WiMAX TDD and WCDMA FDD coexistence by utilizing beamforming in M-WiMAX TDD system,” IEICE Transactions on Communications, vol. E93-B, no. 1, pp. 111–124, 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. R. C. George and C. D. McGillem, Probabilistic Methods of Signal and System Analysis, Oxford University Press, New York, NY, USA, 3rd edition, 1999.
  7. ERC, “Monte-Carlo simulation methodology for the use in sharing and compatibility studies between different radio services or systems,” ERC Report 68, 2002. View at Google Scholar
  8. T. S. Rappaport, Wireless Communications: Principles and Practice, Prentice Hall, Upper Saddle River, NJ, USA, 2nd edition, 2001.
  9. M. J. Nawrocki, M. Dohler, and A. H. Aghvami, Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation, John Wiley & Sons, Chichester, UK, 2006.
  10. http://en.wikipedia.org/wiki/User_equipment.
  11. R4-B26ah-0009, “Results of Monte Carlo simulations for Band 26 coexistence studies,” Qualcomm Incorporated.