2nd International ICST Workshop on Intelligent Networks: Adaptation, Communication & Reconfiguration

Research Article

Pre-emption based Call Admission Control with QoS and Dynamic Bandwidth Reservation for Cellular Networks

  • @INPROCEEDINGS{10.1109/COMSWA.2008.4554510,
        author={Ankur Guha Roy and Rajdeep Mondal and Iti Saha Misra and Kalpana Saha (Roy)},
        title={Pre-emption based Call Admission Control with QoS and Dynamic Bandwidth Reservation for Cellular Networks},
        proceedings={2nd International ICST Workshop on Intelligent Networks: Adaptation, Communication \&  Reconfiguration},
        publisher={IEEE},
        proceedings_a={IAMCOM},
        year={2008},
        month={6},
        keywords={CAC Preemtion Dynamic Bandwidth reservation GA},
        doi={10.1109/COMSWA.2008.4554510}
    }
    
  • Ankur Guha Roy
    Rajdeep Mondal
    Iti Saha Misra
    Kalpana Saha (Roy)
    Year: 2008
    Pre-emption based Call Admission Control with QoS and Dynamic Bandwidth Reservation for Cellular Networks
    IAMCOM
    IEEE
    DOI: 10.1109/COMSWA.2008.4554510
Ankur Guha Roy1,*, Rajdeep Mondal1,*, Iti Saha Misra1,*, Kalpana Saha (Roy)2,*
  • 1: Electronics and Telecommunication Engineering Department Jadavpur University, Kolkata, India
  • 2: Govt. College of Ceramic Technology, Kolkata, India
*Contact email: itsankur45@gmail.com, justrajdeep@gmail.com, itimisra@cal.vsnl.net.in, klpnsh@yahoo.com

Abstract

Call admission protocol (CAC) is a very important process in the provision of good Quality of Service (QoS) in cellular mobile networks. With micro/Pico cellular architectures that are now used to provide higher capacity, the cell size decreases with a drastic increase in the handoff rate. In this paper, we present modeling and simulation results to help in better understanding of the performance and efficiency of CAC in cellular networks. Handoff prioritization is a common characteristic, which is achieved through the threshold bandwidth reservation policy framework. Combined with this framework, we use pre-emptive call admission scheme and elastic bandwidth allocation for data calls in order to gain a near optimal QoS. In this paper, we also use a Genetic Algorithm (GA) based approach to optimize the fitness function, which we obtained by calculating the mean square error of predicted rejection values and the actual ones. The predicted values are calculated using a linear model, which relates the rejection ratios with different threshold values.