The Structure of the Reactive Performance Control System for Wireless Channels

  • Dmitri Moltchanov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4003)


To optimize performance of applications running over wireless channels, novel state-of-the-art wireless access technologies provide a number of advanced features including dynamic adaptation of protocol parameters at different layers. To exchange control information among non-adjacent layers a cross-layer signalling protocol is needed. Then, the control information should be used by a certain performance control entity to determine the set of protocol parameters resulting in best possible performance of an application in a given wireless channel and traffic conditions. For wireless access technologies with dynamic adaptation of protocol parameters design of the cross-layer performance control system is proposed. Functionalities of components of the system are isolated and described in details.


Wireless Channel Forward Error Correction Wireless Access Technology Change Point Analyzer Protocol Parameter 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Srivastava, V., Motani, M.: Cross-layer design: a survey and the road ahead. IEEE Comp. Comm. 43(12), 112–119 (2005)CrossRefGoogle Scholar
  2. 2.
    Raisinghani, V., Lyer, S.: Cross-layer design optimizations in wireless protocol stacks. IEEE Comp. Comm. 27, 720–724 (2004)CrossRefGoogle Scholar
  3. 3.
    Wu, G., Bai, Y., Lai, J., Ogielski, A.: Interactions between TCP and RLP in wireless Internet. In: GLOBECOM 1999, Rio de Janeiro, December, pp. 661–666 (1999)Google Scholar
  4. 4.
    Sudame, P., Badrinath, B.: On providing support for protocol adaptation in mobile wireless networks. Mob. Netw. and Appl. 6(1), 43–55 (2001)CrossRefMATHGoogle Scholar
  5. 5.
    Kim, B.-J.: A network service providing wireless channel information for adaptive mobile applications. In: Proc. IEEE ICC 2001, Helsinki, June 2001, pp. 1345–1251 (2001)Google Scholar
  6. 6.
    Chen, K., Shan, S., Nahrstedt, K.: Cross-layer design for accessibility in mobile ad hoc networks. Wireless Pers. Comm. 21(1), 49–76 (2002)CrossRefGoogle Scholar
  7. 7.
    Wang, Q., Abu-Rgheff, M.: Cross-layer signalling for next-generation wireless systems. In: Proc. WCNC 2003, March 2003, pp. 1084–1089 (2003)Google Scholar
  8. 8.
    Kawadia, V., Kumar, P.R.: A cautionary perspective on cross-layer design. IEEE Pers. Comm. 12(1), 3–11 (2005)Google Scholar
  9. 9.
    Moltchanov, D., Koucheryavy, Y., Harju, J.: Loss performance model for wireless channels with autocorrelated arrivals and losses. Special Issue of Comp. Comm. (in press, 2005)Google Scholar
  10. 10.
    van Der Schaar, M., Shankar, N.: Cross-layer wireless multimedia transmission: challenges, principles, and new paradigms. IEEE Wir. Comm. 12(4), 50–58 (2005)CrossRefGoogle Scholar
  11. 11.
    Koucheryavy, Y., Moltchanov, D., Harju, J., Giambene, G.: Cross-layer black-box approach to performance evaluation of next generation mobile networks. In: NEW2AN, St.-Petersburg, Russia, February 2004, pp. 266–272 (2004)Google Scholar
  12. 12.
    Liu, S., Zhou, Q., Giannakis, G.: Queuing with adaptive modulation and coding over wireless links: cross-layer analysis and design. IEEE Trans. Wir. Comm. 4(3), 1142–1153 (2005)CrossRefGoogle Scholar
  13. 13.
    Liu, S., Zhou, Q., Giannakis, G.: Cross-layer modeling of adaptive wireless link for QoS support in multimedia networks. ACM/Kluwer J. on Wir. Netw (in press, 2006)Google Scholar
  14. 14.
    Zhang, X., Tang, J., Chen, H.-H., Ci, S., Guizani, M.: Cross-layer-based modeling for quality of service guarantees in mobile wireless networks. IEEE Comm. Mag. 44(1), 100–106 (2006)CrossRefGoogle Scholar
  15. 15.
    Konrad, A., Zhao, B., Joseph, A., Ludwig, R.: Markov-based channel model algorithm for wireless networks. Wireless Networks 9(3), 189–199 (2003)CrossRefGoogle Scholar
  16. 16.
    Moltchanov, D.: State Description of Wireless Channels Using Change-Point Statistical Tests. In: Braun, T., Carle, G., Fahmy, S., Koucheryavy, Y. (eds.) WWIC 2006. LNCS, vol. 3970, pp. 275–286. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  17. 17.
    Moltchanov, D., Koucheryavy, Y.: Some elements of the performance control system for wireless channels. In: Proc. First International Workshop on Convergence of Heterogeneous Wireless Networks, Budapest, Hungary (July 2005) (pages Published on CD–ROM)Google Scholar
  18. 18.
    Moltchanov, D., Koucheryavy, Y., Harju, J.: Cross-layer modeling of wireless channels for IP layer performance evaluation of delay-sensitive applications. Special Issue of Comp. Comm. (in press, 2005)Google Scholar
  19. 19.
    Li, S.-Q., Hwang, C.-L.: Queue response to input correlation functions: discrete spectral analysis. IEEE Trans. Netw. 1, 522–533 (1997)Google Scholar
  20. 20.
    Hajek, B., He, L.: On variations of queue response for inputs with the same mean and autocorrelation function. IEEE Trans. Netw. 6(5), 588–598 (1998)CrossRefGoogle Scholar
  21. 21.
    Kim, Y.-Y., Li, S.-Q.: Capturing important statistics of a fading/shadowing channel for network performance analysis. IEEE JSAC 17(5), 888–901 (1999)Google Scholar
  22. 22.
    Moltchanov, D., Koucheryavy, Y., Harju, J.: Simple, Accurate and Computationally Efficient Wireless Channel Modeling Algorithm. In: Braun, T., Carle, G., Koucheryavy, Y., Tsaoussidis, V. (eds.) WWIC 2005. LNCS, vol. 3510, pp. 234–245. Springer, Heidelberg (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Dmitri Moltchanov
    • 1
  1. 1.Institute of Communication EngineeringTampere University of TechnologyTampereFinland

Personalised recommendations