A New CAC Policy Based on Traffic Characterization in Cellular Networks

  • Natalia Vassileva
  • Francisco Barcelo-Arroyo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5031)


The Call Admission Control (CAC) method presented in this paper is based on the statistical properties of the network’s traffic variables. It probabilistically estimates the time until the release of a seized channel: the admission control depends on the computed mean remaining time averaged along all channels at a specific instant and on a time threshold. The policy produces a smooth transition between the QoS metrics, giving the operator the freedom to design the network at the desired QoS point. Another valuable property is that the algorithm is straightforward and fed only by simple teletraffic metrics: distribution and the first and second moments of Channel Holding Time (CHT). Simplicity is important for a CAC method because decisions for accepting or rejecting calls must be computed quickly and frequently.


QoS parameters call admission control (CAC) resource allocation schemes traffic engineering wireless cellular systems 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Ramjee, R., Nagarajan, R., Towsley, D.: On optimal call admission control in cellular networks. In: IEEE INFOCOM, pp. 45–50 (1996)Google Scholar
  2. 2.
    Yoon, C.H., Un, C.K.: Performance of personal portable radio telephone systems with and without guard channels. IEEE J. Selected Areas Communications 11, 911–917 (1993)CrossRefGoogle Scholar
  3. 3.
    Kulavaratharasha, M.D., Aghvami, A.H.: Teletraffic performance evaluation of microcellular personal communication network (PCNs) with prioritized hand-off procedures. IEEE Trans. Vehicular Technology 48, 137–152 (1999)CrossRefGoogle Scholar
  4. 4.
    Tekinay, S., Jabbari, B.: Handover and channel assignment in mobile cellular networks. IEEE Communications Magazine 29, 42–46 (1991)CrossRefGoogle Scholar
  5. 5.
    Kim, Y.C., Lee, D.E., Lee, B.J., Kim, Y.H., Mukherjee, B.: Dynamic channel reservation based on mobility in wireless ATM networks. IEEE Communications Magazine 37, 47–51 (1999)Google Scholar
  6. 6.
    Ramanathan, P., Sivalingam, K.M., Agrawal, P., Kishore, S.: Dynamic resource allocation schemes during hand-off for mobile multimedia wireless networks. IEEE J. Selected Areas Communications 17, 1270–1283 (1999)CrossRefGoogle Scholar
  7. 7.
    Agrawal, P., Ankevar, D.K., Narendran, B.: Channel management policies for handovers in celular networks. Bell Labs Technical Journal, 97–110 (1996)Google Scholar
  8. 8.
    Bisaws, S.K., Sengupta, B.: Call admissibility for multirate traffic in wireless ATM networks. In: IEEE INFOCOM, pp. 649–657 (1997)Google Scholar
  9. 9.
    Garcia, D., Martinez, J., Pla, V.: Comparative evaluation of admission control policies in cellular multiservice networks. In: Int. Conf. Wireless Communications, pp. 517–531 (2004)Google Scholar
  10. 10.
    Barcelo, F., Jordan, J.: Channel holding time distribution in public telephony systems (PAMR and PCS). IEEE Trans. Vehicular Technology 49, 1615–1625 (2000)CrossRefGoogle Scholar
  11. 11.
    Barcelo, F.: Statistical properties of silence gap in public mobile telephony channels with application to data transmission. In: IEEE Int. Conf. Communications (ICC), pp. 2011–2015 (2001)Google Scholar
  12. 12.
    Chlebus, E.: Empirical validation of call holding time distribution in cellular communications systems. In: Proc. 15th Int. Teletraffic Congress (ITC), pp. 117–1189 (1997)Google Scholar
  13. 13.
    Jedrzycki, C., Leung, V.C.M.: Probability Distribution of Channel Holding Time in Cellular Telephone Systems. In: IEEE Vehicular Technology Conf (VTC), pp. 247–251 (1996)Google Scholar
  14. 14.
    Kleinrock, L.: Queueing systems. Theory, vol. I. John Wiley & Sons, Chichester (1975)zbMATHGoogle Scholar
  15. 15.
    Chih-lin, I., Greenstein, J.L., Gitlin, R.D.: A Microcell/macrocell cellular architecture for low- and high-mobility wireless users. IEEE J. Selected Areas Communications 11, 885–891 (1993)CrossRefGoogle Scholar
  16. 16.
    Steele, R., Nofal, M.: Teletraffic performance of city street microcells catering for pedestrian mobile users. In: IEE Colloquium on Univ. Research in Mobile Radio (1990)Google Scholar
  17. 17.
    Omnet++ Communite Site,
  18. 18.
    Xhafa, A.E., Tonguz, O.K.: Handover performance of priority schemes in cellular networks. IEEE Trans. Vehicular Technology 57, 565–577 (2008)CrossRefGoogle Scholar
  19. 19.
    Hong, D., Rappaport, S.S.: Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized hand-off procedures. IEEE Trans. Vehicular Technology VT-35, 77–92 (1986)CrossRefGoogle Scholar
  20. 20.
    Iversen, V.: Handbook in Teletraffic Engineering. ITC/ITU-D (2005)Google Scholar
  21. 21.
    Xhafa, A.E., Tonguz, O.K.: Does mixed lognormal channel holding time affect the handover performance of guard channel scheme? In: IEEE GLOBECOM, vol. 6, pp. 3452–3456 (2003)Google Scholar
  22. 22.
    Barcelo, F.: Performance analysis of handoff resource allocation strategies through state-dependent rejection scheme. IEEE Trans. on Wireless Communications 3, 900–909 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Natalia Vassileva
    • 1
  • Francisco Barcelo-Arroyo
    • 1
  1. 1.Universitat Politecnica de Catalunya (UPC)BarcelonaSpain

Personalised recommendations