1st International ICST Conference on Performance Evaluation Methodologies and Tools

Research Article

Performance measures of a call admission control in mobile networks using SWN

  • @INPROCEEDINGS{10.1145/1190095.1190177,
        author={Lynda  Mokdad and Mbaye  Sene},
        title={Performance measures of a call admission control in mobile networks using SWN},
        proceedings={1st International ICST Conference on Performance Evaluation Methodologies and Tools},
        publisher={ACM},
        proceedings_a={VALUETOOLS},
        year={2012},
        month={4},
        keywords={},
        doi={10.1145/1190095.1190177}
    }
    
  • Lynda Mokdad
    Mbaye Sene
    Year: 2012
    Performance measures of a call admission control in mobile networks using SWN
    VALUETOOLS
    ACM
    DOI: 10.1145/1190095.1190177
Lynda Mokdad1,*, Mbaye Sene1,2,*
  • 1: LAMSADE, Univ. Paris Dauphine, Place du Marechal de Lattre de Tassigny, 75775 cedex 16, France
  • 2: FST, Universite Cheikh Anta Diop, DPT Mathematiques-informatique, BP 5005, Dakar-Fann, Senegal
*Contact email: lynda.mokdad@lamsade.dauphine.fr, mbaye.sene@lamsade.dauphine.fr

Abstract

Call Admission Control (CAC) is an important mechanism in mobile networks. Many works have been done on GSM/GPRS and on UMTS system with mixed voice and data. However, CAC models and wireless communication proposed in the literature are represented with a uni-dimensional Markov chain, in general based on voice calls in order to reduce the state-space of the chain. Another drawback of those studies is lack of the synchronization between mobiles and servers. In this paper, we aim to evaluate the performance of a CAC scheme which takes into account voice connections, synchronous and asynchronous data connections. This scheme can be represented by a multi-dimensional Markov chain with a very large state-space. Thus, we propose to use Stochastic Well formed Petri Nets (SWN) to model the system interaction which consists of several mobiles, gateways, cells and servers. Performance measures are carried-out using symbolic simulation.