Personal Satellite Services. 4th International ICST Conference, PSATS 2012, Bradford, UK, March 22-23, 2012. Revised Selected Papers

Research Article

Two-Dimensional Markov Chain Model for Performance Analysis of Call Admission Control Algorithm in Heterogeneous Wireless Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-36787-8_22,
        author={Sha Sha and Rosemary Halliwell and Prashant Pillai},
        title={Two-Dimensional Markov Chain Model for Performance Analysis of Call Admission Control Algorithm in Heterogeneous Wireless Networks},
        proceedings={Personal Satellite Services. 4th International ICST Conference, PSATS 2012, Bradford, UK, March 22-23, 2012. Revised Selected Papers},
        proceedings_a={PSATS},
        year={2013},
        month={4},
        keywords={Call admission control handover two-dimension markov chain heterogeneous networks dropping probability},
        doi={10.1007/978-3-642-36787-8_22}
    }
    
  • Sha Sha
    Rosemary Halliwell
    Prashant Pillai
    Year: 2013
    Two-Dimensional Markov Chain Model for Performance Analysis of Call Admission Control Algorithm in Heterogeneous Wireless Networks
    PSATS
    Springer
    DOI: 10.1007/978-3-642-36787-8_22
Sha Sha1,*, Rosemary Halliwell1,*, Prashant Pillai1,*
  • 1: University of Bradford
*Contact email: ssha@student.bradford.ac.uk, r.a.halliwell@bradford.ac.uk, p.pillai@bradford.ac.uk

Abstract

This paper proposes a novel call admission control (CAC) algorithm and develops a two-dimensional markov chain processes (MCP) analytical model to evaluate its performance for heterogeneous wireless network. Within the context of this paper, a hybrid UMTS-WLAN network is investigated. The designed threshold-based CAC algorithm is launched basing on the user’s classification and channel allocation policy. In this approach, channels are assigned dynamically in accordance with user class differentiation. The two-dimensional MCP mathematical analytic method reflects the system performance by appraising the dropping likelihood of handover traffics. The results show that the new CAC algorithm increases the admission probability of handover traffics, while guarantees the system quality of service (QoS) requirement.