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Study on Intermittent WLAN Consisting of Heterogeneous Multi-radio Devices

  • Xue Yang
  • Jing Zhu
  • Xingang Guo
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 284)

It is envisioned that multiple radios may be integrated into a single portable device in the near future. Such multi-radio devices may participate in multiple networks at the same time. In this paper, we consider a 802.11 WLAN network that shares a common set of multi-radio devices with another network, say CO-NETWORK, and we discuss WiMAX as one example of CO-NETWORK. One multi-radio device may not actively operate in WLAN when the same device is transmitting or receiving in the CO-NETWORK. As such, two networks interact with each other via shared multi-radio devices; and scheduling in CO-NETWORK may affect the performance of WLAN. In this paper, we study how the fairness/throughput of a WLAN network may be affected by the scheduling of CO-NETWORK. We further propose some scheduling optimization criteria for CO-NETWORK to minimize such impact. Simulation and analytical results are provided to support our discussions.

Keywords

Cognitive Radio Contention Window Fairness Index Disruption Ratio WiMAX Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    J. Lansford, “UWB Coexistence and Cognitive Radio”, Ultra Wideband Systems, May 18-21, 2004.Google Scholar
  2. 2.
    IEEE Std 802.15.2-2003, “Coexistence of Wireless Personal Area Networks with Other Wireless Devices Operating in Unlicensed Frequency Bands”.Google Scholar
  3. 3.
    S. M. Mishra, A. Sahai, and R. W. Brodersen, Cooperative Sensing among Cognitive Radios, IEEE ICC 2006.Google Scholar
  4. 4.
    X. Jing, S.-C. Mau, D. Raychaudhuri and R. Matyas, "Reactive Cognitive Radio Algorithms for Co-Existence between IEEE 802.11b and 802.16a Networks", Proceedings of IEEE Globecom, St. Louis, MO, Nov. 28-Dec. 2, 2005.Google Scholar
  5. 5.
    X. Jing and D. Raychaudhuri, "Spectrum Co-existence of IEEE 802.11b and 802.16a Networks using the CSCC Etiquette Protocol", Proceedings of IEEE DySPAN (International Symposium on New Frontiers in Dynamic Spectrum Access Networks), Baltimore, MD, Nov. 8-11, 2005.Google Scholar
  6. 6.
    N. Niebert, A. Schieder, H. Abramowicz, G. Malmgren, J. Sachs, U. Horn, C.Prehofer, and H. Karl, “Ambient networks: An architecture for communication networks beyond 3g,” IEEE Wireless Communications, vol. 11, pp. 14--22, April 2004.CrossRefGoogle Scholar
  7. 7.
    X. Gao, G. Wu, and T. Miki, “End-to-end qos provisioning in mobile heterogenous networks,” IEEE Wireless Communications, vol. 11, pp. 24--34, June 2004.Google Scholar
  8. 8.
    M. Rossi, L. Badia, P. Giacon, and M. Zorzi, “On the effectiveness of logical device aggregation in multi-radio multi-hop networks,” in Proceedings of the 3rd IEEE International Workshop on Mobility Management and Wireless Access (MobiWac 2005), Maui, Hawaii, USA, 2005.Google Scholar
  9. 9.
    J. Zhu, X. Yang and X. Guo, “Disruptive CSMA with Credit Payback (CP) Protocols for MultiRadio Network,” CrownCom 2007, August 2007.Google Scholar
  10. 10.
    X. Yang, J. Zhu and X. Guo, “Using “Scaled Credit Payback” to Achieve Soft-fairness for Disruptive Radios in CSMA Networks”, IEEE SECON 2007 poster session.Google Scholar
  11. 11.
    G. Bianchi, Performance Analysis of IEEE 802.11 Distributed Coordination Function, IEEE JSAC, vol. 8, no.3, March 2000.Google Scholar

Copyright information

© International Federation for Information Processing 2008

Authors and Affiliations

  • Xue Yang
    • 1
  • Jing Zhu
    • 1
  • Xingang Guo
    • 1
  1. 1.Communication Technology LabIntel CorporationHillsboroUSA

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