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    Performance Modelling and Analysis of Handover and Call Admission Control Algorithm for Next Generation Wireless Networks

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    Sha Sha Mphil 03013709l.pdf (1.152Mb)
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    Publication date
    2013-03-11
    Author
    Sha, Sha
    Supervisor
    Halliwell, Rosemary A.
    Pillai, Prashant
    Keyword
    Call admission control (CAC)
    ; Fuzzy logic
    ; Markov Chain Process
    ; Next generation wireless system (NGWS)
    ; Radio resource management (RRM)
    ; Pre-emptive resume (PR)
    Rights
    Creative Commons License
    The University of Bradford theses are licenced under a Creative Commons Licence.
    Institution
    University of Bradford
    Department
    School of Engineering, Design and Technology
    Awarded
    2011
    
    Metadata
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    Abstract
    The next generation wireless system (NGWS) has been conceived as a ubiquitous wireless environment. It integrates existing heterogeneous access networks, as well as future networks, and will offer high speed data, real-time applications (e.g. Voice over IP, videoconference ) and real-time multimedia (e.g. real-time audio and video) support with a certain Quality of Service (QoS) level to mobile users. It is required that the mobile nodes have the capability of selecting services that are offered by each provider and determining the best path through the various networks. Efficient radio resource management (RRM) is one of the key issues required to support global roaming of the mobile users among different network architectures of the NGWS and a precise call admission control (CAC) scheme satisfies the requirements of high network utilization, cost reduction, minimum handover latency and high-level QoS of all the connections. This thesis is going to describe an adaptive class-based CAC algorithm, which is expected to prioritize the arriving channel resource requests, based on user¿s classification and channel allocation policy. The proposed CAC algorithm couples with Fuzzy Logic (FL) and Pre-emptive Resume (PR) theories to manage and improve the performance of the integrated wireless network system. The novel algorithm is assessed using a mathematical analytic method to measure the performance by evaluating the handover dropping probability and the system utilization.
    URI
    http://hdl.handle.net/10454/5509
    Type
    Thesis
    Qualification name
    MPhil
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