Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
권호 표지

Ad-Hoc Behavior in Opportunistic Radio

  • Received : 2008.09.10
  • Published : 2009.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

The application of mathematical analysis to the study of wireless ad hoc networks has met with limited success due to the complexity of mobility, traffic models and the dynamic topology. A scenario based universal mobile telecommunications system (UMTS) time division duplex (TDD) opportunistic cellular system with an ad hoc behaviour that operates over UMTS frequency division duplex (FDD) licensed cellular network is considered. In this paper, we present a new routing metric which overall improves system performance in terms of interference and routing which operate in an ad hoc network in an opportunistic manner. Therefore we develop a simulation tool that addresses the goal of analysis and assessment of UMTS TDD opportunistic radio system with ad hoc behavior in coexistence with a UMTS FDD primary cellular networks.

Keywords

References

  1. T. C. Tozer and D. Grace, "High-altitude platforms for wireless communications," Elec. Commun. Eng. J., vol. 13, no. 3, pp. 127–137, June 2001
  2. FCC, "ET docket no 03-222 notice of proposed rule making and order," Dec. 2003
  3. J. Mitola, "Cognitive radio for flexible multimedia communications," in Proc. MoMuC, 1999, p. 3
  4. P. Marques, "Opportunistic use of 3G uplink licensed bands communications,"in Proc. IEEE ICC, May 2008
  5. FCC, "ET docket no 03-237 notice of inquiry and notice of proposed rulemaking,"ET docket no. 03-237, 2003
  6. C. Huang and A. Polydoros, "Likelihood methods for MPSK modulation classification," IEEE Trans. Commun., vol. 43, pp. 1493–1504, Feb./Mar./Apr. 1995
  7. E. Perahia and D. Cox, "Shadow fading correlation between uplink anddownlink," in Proc. IEEE VTC, 2001
  8. C. Cordeiro and K. Challapali, "Spectrum sensing for dynamic spectrumaccess of TV bands," in Proc. Crowncom Conf., Aug. 2007
  9. R. Tandra and A. Sahai, "Fundamental limits on detection in low SNR under noise uncertainly," in Proc. WirelessCom, June 2005
  10. W. Gardner and A. William, Cyclostationarity in Communications and Signal Processing. IEEE PRESS, 1994
  11. 3GPP, TSG RAN, Physical channels and mapping of transport channels onto physical channels (FDD), 3G 25.211
  12. M. Oner and F. Jondral, "Air interface identification for Software Radio Systems," Wireless Pers. Commun., Apr. 2006
  13. P. Marques et.al., "Procedures and performance results for interference computation and sensing," IST-ORACLE project report D2.5, May 2008
  14. R. Draves, J. Padhye, and B. Zill, "Routing in multi-radio, multi-hop wirelessmesh networks," in Proc. ACM Mobicom, Philadelphia, Pennsylvania,U.S., Oct. 2004
  15. E. M. Royer and C.-K. Toh, "A review of current routing protocolsfor ad hoc mobile wireless networks," IEEE Pers. Commun., vol. 6, pp. 46–55, Apr. 1999 https://doi.org/10.1109/98.760423
  16. R. W. Thomas, D. H. Friend, L. A. DaSilva, and A. B. MacKenzie, "Cognitive networks adaptation and learning to achieve end-to-end performance bjectives," IEEE Commun. Mag., vol. 44, pp. 51–57, Dec. 2006 https://doi.org/10.1109/MCOM.2006.273099
  17. S. Haykin, "Cognitive radio: Brain-empowered wireless communications,"IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201–220, Feb. 2005 https://doi.org/10.1109/JSAC.2004.839380
  18. J. Mitola and G. Q. Maguire Jr., "Cognitive radio: Making software radios more personal," IEEE Pers. Commun., vol. 6, pp. 13–18, Aug. 1999 https://doi.org/10.1109/98.788210
  19. M. Pioro and D. Medhi, "Routing flow and capacity design in communication and computer networks," Morgan Kaufmann, 2004
  20. ORCALE WP2. [Online:] Available: http://www.ist-oracle.org
  21. A. Pereira, "Opportunistic radio and licensed users coexistence in cellular networks," in Proc. ISWPS, 2007