Modelling and Performance Analysis of Queueing Systems for Self-similar Services in Wireless Cooperative Multi-relay Networks

  • Xing Zhang
  • Wenbo Wang
  • Jing Xiao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6843)

Abstract

The self-similarity nature of network traffics has been discovered to be a ubiquitous phenomenon in communication networks; meanwhile, wireless cooperative relay networks have received considerable interests in both academia and industry in recent years. The performance analysis of service queue behavior for wireless communication is very essential for the design of wireless communication networks. In this paper, we established a system model to analyze the queue behavior with self-similar traffics in cooperative multiple relay networks. Based on the system model we investigate the closed-form and approximate formulas of queue length distributions for different cooperative protocols, the number of relays, the queue behaviors are thoroughly studied according to the characteristics of cooperative relay system and self-similar traffics. Numerical investigations have been performed to validate the accuracy of the queue behavior analysis. The validity and accuracy of this work make it a convenient and practical evaluation tool to the design of self-similar service transmissions in future wireless cooperative relay networks.

Keywords

Self-similar traffic queue analysis cooperative relay networks amplify-and-forward (AF) decode-and-forward (DF) protocol 

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References

  1. 1.
    Leland, W.E., Taqq, M.S., Willinger, W., Wilson, D.V.: On the self-similar nature of Ethernet traffic (extended version). IEEE/ACM Transactions on Networking 2, 1–15 (1994)CrossRefGoogle Scholar
  2. 2.
    Erramilli, A., Narayan, O., Willinger, W.: Experimental queueing analysis with long-range dependent packet traffic. IEEE/ACM Trans. Networking 4(2), 209–223 (1996)CrossRefGoogle Scholar
  3. 3.
    Laneman, J.N., Wornell, G.W.: Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks. IEEE Trans. Inf. Theory 49(10), 2414–2425 (2003)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Laneman, J.N., Tse, D.N.C., Wornell, G.W.: Cooperative diversity in wireless networks: efficient protocols and outage behavior. IEEE Trans. Inf. Theory 50(12), 3062–3080 (2004)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Sendonaris, A., Aazhang, B.: User cooperation diversity-part I: system description. IEEE Trans. Commun 51(11), 1927–1938 (2003)CrossRefGoogle Scholar
  6. 6.
    Sendonaris, A., Aazhang, B.: User cooperation diversity-part II: implementation aspects and performance analysis. IEEE Trans. Commun. 51(11), 1939–1948 (2003)CrossRefGoogle Scholar
  7. 7.
    Zhang, X., Wang, W., Ji, X.: Multiuser Diversity in Multiuser Two-Hop Cooperative Relay Wireless Networks (TCRN): System Model and Performance Analysis. IEEE Transactions on Vehicular Technology (February 2009)Google Scholar
  8. 8.
    3GPP. 3GPP TS 36.300, Technical Specification Group Radio Access Network; E-UTRA and E-UTRAN; Overall description (2006)Google Scholar
  9. 9.
    Dahlman, E., Parkvall, S., Skold, J., Beming, P.: 3G Evolution: HSPA and LTE for Mobile Broadband, 2nd edn. Academic Press, London (2008)Google Scholar
  10. 10.
    Dapeng, W., Negi, R.: Effective capacity: a wireless link model for support of quality of service. IEEE Transactions on Wireless Communications 2, 630–643 (2003)CrossRefGoogle Scholar
  11. 11.
    Ishizaki, F., Hwang Gang, U.: Queuing Delay Analysis for Packet Schedulers With/Without Multiuser Diversity Over a Fading Channel. IEEE Transactions on Vehicular Technology 56, 3220–3227 (2007)CrossRefGoogle Scholar
  12. 12.
    Norros, I.: A most probable approach to queueing systems with general Gaussian input. Computer Networks 40(3), 399–412 (2002)CrossRefGoogle Scholar
  13. 13.
    Norros, I.: On the Use of Fractionl Brownian Motion in the Theory of Connectionless Networks. IEEE Journal on Selected Areas in Communications 13(6), 953–962 (1995)CrossRefGoogle Scholar
  14. 14.
    Jin, X., Min, G., et al.: An Analytical Queuing Model for Long Range Dependent Arrivals and Variable Service Capacity. In: IEEE ICC 2008 (May 2008)Google Scholar
  15. 15.
    Hasna, M.O., Alouini, M.-S.: End-to-end performance of transmission systems with relays over Rayleigh fading channels. IEEE Trans. on Wireless Commun. 2(6), 1126–1131 (2003)CrossRefGoogle Scholar
  16. 16.
    Perez, J., Ibanez, J., Vielva, L., Santamaria, I.: Closed-form approximation for the outage capacity of orthogonal STBC. IEEE Commun. Lett. 9(1), 961–963 (2005)CrossRefGoogle Scholar
  17. 17.
    Chen, S., Wang, W., Zhang Ergodic, X.: Outage Capacity Analysis of Cooperative Diversity Systems under Rayleigh Fading Channels. In: IEEE ICC 2009 (June 2009)Google Scholar
  18. 18.
    Abramowitz, M., Stegun, I.A.: Handbook of Mathematical Functions, 9th edn. Dover, New York (1970)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Xing Zhang
    • 1
  • Wenbo Wang
    • 1
  • Jing Xiao
    • 1
  1. 1.Wireless Signal Processing and Network Laboratory, Key Lab of Universal Wireless Communications, Ministry of EducationBeijing University of Posts and TelecommunicationsBeijingP.R. China

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