• DocumentCode
    1611513
  • Title

    Erlang Capacity of Multi-Class TDMA Systems with Adaptive Modulation and Coding

  • Author

    Wang, Hua ; Iversen, Villy B.

  • Author_Institution
    Dept. of Commun., Tech. Univ. of Denmark, Lyngby
  • fYear
    2008
  • Firstpage
    115
  • Lastpage
    119
  • Abstract
    Erlang capacity is traditionally defined as the maximum value of offered traffic among different service classes that the system can support when the blocking probabilities at the call admission control (CAC) level do not exceed certain thresholds. That is valid when a fixed amount of bandwidth is allocated to each user in each frame during the whole service time. However, with the introduction of adaptive modulation and coding (AMC) scheme employed at the physical layer, outage might occur due to the fact that the allocation of bandwidth is dynamic based on the time-varying wireless channel conditions. In this paper, we evaluate the Erlang capacity of a TDMA system with AMC supporting voice and data traffics, by taking both the blocking and the outage probabilities into account. The analytical models for calculating the blocking and the outage probabilities are developed separately, and a joint algorithm for determining the Erlang capacity of the system is proposed with some numerical examples.
  • Keywords
    adaptive codes; adaptive modulation; channel capacity; channel coding; probability; time division multiple access; time-varying channels; wireless channels; Erlang capacity; adaptive coding; adaptive modulation; bandwidth allocation; blocking probability; call admission control; multi class TDMA system; outage probability; time-varying wireless channel; Adaptive systems; Analytical models; Bandwidth; Call admission control; Capacity planning; Modulation coding; Physical layer; Probability; Time division multiple access; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.30
  • Filename
    4533066