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IEEE 802.11 Goodput Analysis for Mixed Real Time and Data Traffic

  • Alex Grote
  • Walter Grote
  • Rodolfo Feick
Conference paper
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 256)

Abstract

An IEEE 802.11 analytical performance evaluation model for ad-hoc WLAN’s comprising terminals with different traffic source characteristics is presented. Although some publications address this issue, most of them propose to modify the original standard by some means that will affect the probability of transmission of a device when the network reaches congestion. The approach of this publication is to be able to establish a set of equations such that an intelligent choice of configuration parameters of standard home devices may improve the performance of the wireless network. Actually, two models are presented and compared, a simple one based on stationary behavior of the network assuming collisions have a negligible effect on network performance, and a second model based on a stationary stochastic model of a network, where devices have a packet ready for transmission at all times.

Keywords

Medium Access Control Wireless Local Area Network Contention Window Saturation Throughput Contention Window Size 
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.
    ANSI/IEEE Std 802.11, Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications (1999 Edition)Google Scholar
  2. 2.
    IEEE Std 802.11 b-1999, Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications: High-speed Physical Layer in the 2.4 GHZ BandGoogle Scholar
  3. 3.
    IEEE Std 802.11a-1999, Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications: High-speed Physical Layer in the 5 GHZ BandGoogle Scholar
  4. 4.
    IEEE Std 802. 11g-2003, Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications Amendment 4: Further Higher Data Rate Extension in the 2.4 GHZ BandGoogle Scholar
  5. 5.
    IEEE Std. 802. 1 1e, Wireless medium access control (MAC) and physical layer (PHY) specifi cations: Medium access control (MAC) enhancements for quality of service (QoS) (November 2005)Google Scholar
  6. 6.
    IEEE P802.11n Draft 1.0, Amendment to STANDARD [FOR] Information Technology-Telecommunications and information exchange between systems-Local and Metropolitan networks-Specific requirements-Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications: Enhancements for Higher ThroughputGoogle Scholar
  7. 7.
    G. Bianchi, Performance Analysis of the IEEE 802.11 Distributed Coordination Function, IEEE Journal on Selected Areas in Communications ,V. 18, No.3 (March 2000)Google Scholar
  8. 8.
    H. Wu, Y. Peng, K. Long, and S. Cheng, A Simple Model of IEEE 802.11 Wireless LAN, In Proc. IEEE International Conferences on Info-Tech and Info-net (ICH) ,Beijing, Vol. 2, pp. 514–519 (October 2001)Google Scholar
  9. 9.
    E. Ziouva, and T. Antonakopoulos, The Effect of Finite Population on IEEE 802.11 Wireless LAN Throughput/Delay Performance, In Proc. 11th IEEE Mediterranean Electrotechnical Conference (MELECON) ,Egypt, pp. 95–99 (May 2002)Google Scholar
  10. 10.
    Y. Xiao, Saturation Performance Metrics of the IEEE 802. 11 MAC, In Proc. IEEE Vehicular Technology Conference (VTC) 2003-Fall ,pp. 1453–1457 (October 2003)Google Scholar
  11. 11.
    R. Bruno, M. Conti, and E. Gregori, IEEE 802. 11 Optimal Performances: RTS/CTS Mechanism vs. Basic Access, In Proc. 13th IEEE Symposium on Personal, Personal, Indoor and Mobile Radio Communications (PIMRC) ,Lisboa, Portugal, Vol. 4, pp. 1747–1751 (September 2002)CrossRefGoogle Scholar
  12. 12.
    Y. Xiao, and J. Rosdahl, Throughput and Delay Limits of IEEE 802. 11, IEEE Communica tion Letters ,Vol. 6, No. 8 (August 2002)Google Scholar
  13. 13.
    J. Jun, P. Peddabachagari, and M. Sichitiu, Theoretical Maximum Throughput of IEEE 802. 11 and its Applications, In Proc. of the Second IEEE International Symposium on Net work Computing and Applications ,Cambridge, pp. 249–256 (April 2003)Google Scholar
  14. 14.
    R. Onvural, Asynchronous Transfer Mode Networks: Performance Issues (2nd Ed, Artech House, 1995).Google Scholar
  15. 15.
    L.X. Cai, X. Shen, J.W. Mark, L. Cai, and Y. Xiao, Voice capacity analysis of WLAN with unbalanced traffic, IEEE Transactions on Vehicular Technology ,Vol. 55, Issue 3, pp. 752–761 (May 2006)CrossRefGoogle Scholar
  16. 16.
    S. Garg, and M. Kappes, An experimental study of throughput for UDP and VoIP traffic in IEEE 802.1 lb networks, In Proc. IEEE WCNC ,Vol. 3, pp. 1748–1753 (March 2003)Google Scholar
  17. 17.
    S. Garg, and M. Kappes, Can I add a VoIP call?, Proc. IEEE ICC ,Vol. 2, pp. 779–783 (May 2003)Google Scholar
  18. 18.
    D. P. Hole, and F. A. Tobagi, Capacity of an IEEE 802.1 lb wireless LAN supporting VoIP,In Proc. IEEE ICC ,Vol. 1, pp. 196–201 (June 2004)Google Scholar
  19. 19.
    Y. Lin, and V.W.S Wong, Saturation throughput of IEEE 802. 11e EDCA based on mean value analysis, IEEE Wireless Communications and Networking Conference 2006, WCNC 2006 ,Vol. 1, pp. 475 -480 (April 2006) ns2 Network Simulator; http://www.isi.edu/nsnam/ns/Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Alex Grote
    • 1
  • Walter Grote
    • 1
  • Rodolfo Feick
    • 1
  1. 1.Electronics DepartmentUniversidad Tecnica Federico Santa MariaValparaisoChile

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