Impacts of buffering voice calls in integrated voice and data services

Gemikonakli, Eser and Gemikonakli, Orhan and Ever, Enver and Mapp, Glenford E. (2011) Impacts of buffering voice calls in integrated voice and data services. In: Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference [proceedings]. Al-Dabass, David and Orsoni, Alessandra and Cant, Richard and Abraham, Ajith, eds. IEEE, pp. 507-512. ISBN 9781612847054

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In this study, we aim to analyse the relationship between various characteristics of a communication system with data and voice call requests. Queuing theory and Markov chain analysis are effectively used for this purpose. Such a study is useful for understanding how the proposed mathematical models behave which represents a system with integrated voice and data calls in homogenous wireless networks. We also propose to optimise the system characteristics in an attempt to provide better Quality of Service (QoS) for systems with integrated voice and data calls. The proposed models have two dimensions; one for voice calls and one for data calls. A channel is assigned for two input traffic call, namely, voice and data calls. The incoming voice and data calls are queued when the channel is busy. Since voice calls are delay-sensitive, priority is given to voice calls. Also, since there is only one channel, data calls are only serviced if there are no voice calls in the system. For such systems, it is important to analyse the impact of buffering the voice calls as well as data calls for various mean rates of call requests, and mean service times. The analytical models presented are generic which is applicable for various systems with similar characteristics. Numerical results are also provided. The results show that the proposed models can be used for optimisation of the performance of a given network.

Item Type:Book Section
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Conference details: UKSim 13th International Conference on

Computer Modelling and Simulation held in Cambridge, United Kingdom, 30 March - 1 April 2011.

Research Areas:A. > School of Science and Technology > Computer and Communications Engineering
A. > School of Science and Technology > Computer Science > SensoLab group
ID Code:7792
Permissions granted by publisher:Owner's copy - post refereed version as permitted by publisher.
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Deposited On:28 Apr 2011 10:46
Last Modified:21 Mar 2015 09:06

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