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Prioritized Data Calls with Time Threshold Performance Model in GSM

Kuboye B. M. , Alese B. K Published in Commmunications

International Journal of Applied Information Systems
Year of Publication: 2014
© 2013 by IJAIS Journal
10.5120/ijais14-451156
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  1. Kuboye B M. and Alese B K. Article: Prioritized Data Calls with Time Threshold Performance Model in GSM. International Journal of Applied Information Systems 7(6):6-12, July 2014. BibTeX

    @article{key:article,
    	author = "Kuboye B. M. and Alese B. K",
    	title = "Article: Prioritized Data Calls with Time Threshold Performance Model in GSM",
    	journal = "International Journal of Applied Information Systems",
    	year = 2014,
    	volume = 7,
    	number = 6,
    	pages = "6-12",
    	month = "July",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Global System for Mobile Communications (GSM) universal acceptability has led to the launching of lots of services ranges from telephony, Internet, multimedia, e-mails and congestion is now the resultant effect of this embracement. This work focuses on how the data calls can be managed on the network in order to minimized congestion experienced on the network. It classifies calls into different classes according to the type and nature of services offered. Thereafter, a level of priority was set among the classes so that the most important service will have access to the channel on the network by preempting the lower priority when there is congestion. The Markov chain's model is used to analyse the different classes of subscribers on the network and subsequently the steady state probabilities were derived. The blocking and dropping probabilities models for the different services were developed. The models were implemented to show how the congestion are minimised for different subscribers based on their priority levels. The impacts of priorities on different subscribers in the network were shown through the graphical display of the results.

Reference

  1. Kuboye, B. M. , (2006). Development of a Framework for Managing Congestion in Global System for Mobile Communications in Nigeria, unpublished M. Tech Project. F. U. T. A. Nigeria.
  2. Janeviski, T. , (2003). Traffic Analysis and Design of Wireless IP Networks Artech House, INC ISBN 1-58053-331-0.
  3. Gupta and Sachan, (2007). Distributed Dynamic Channel Allocation Algorithm for Cellular Mobile Network, Journal of Theoretical and Applied Information Technology.
  4. Tsai, C. , et al (2005) Synchronous and Multiplexed Time Slots and Radio Blocks Allocation for Mobile Packet Data Networks, Proceedings of the 19th International Conference on Advanced Information Networking and Applications, (Aina'05) IEEE.
  5. Dahmouni H. et al (2005). Performance Modeling of GSM/GPRS Cells with Different Radio Resource Allocation Strategies, Methods and Tools for Traffic Engineering, France Telecom R & D, Belfort, France.
  6. Fang and Ghosal (2003). Performance Modeling and QoS Evaluation of MAC/RLC Layer in GSM/ GPRS Networks. Proceeding of IEEE ICC, Alaska, USA.
  7. Budura G. et al (2009). Traffic Models and Associated Parameters in SM/(E)GPRS Networks, WSEAS Transactions on Communications, Issue 8, Volume 8.
  8. Marsan M. A. , (2001). Efficient Estimation of Call Blocking Probabilities in Cellular Mobile Telephony Networks with Customer Retrials, IEEE Journal on Selected.
  9. Tang L. , Shensheng T. , and Wei L. (2004). A Channel Allocation Model with Preemptive Priority for Integrated Voice/Data Mobile Networks, Proceedings of the First International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks, (Qshine'04) 0-7695-2233-5/04 IEEE. 2004.
  10. Candan And Salamah. (2006). Performance and Analysis of a Time-Threshold Based Bandwidth Allocation Scheme for Data Calls in Cellular Networks, 0-7695-2699-3/06 (c) IEEE.
  11. Roszik J. , Sztrik J. , Che-Soong K. (2003). Retrial Queues in The Performance Modeling of Cellular Mobile Networks Using Mosel", International Journal of Simulation Vol. 6 No. 1-2.
  12. Chen and Wu, (2005) Performance Analysis of Radio Resource Allocation for Multimedia Traffic in Cellular Networks, Proceedings of the 19th International Conference on Advanced Information Networking and Applications (Aina'05), IEEE.
  13. Begain K. , et al. (2000) Analytical Call Level Model of GSM/GPRS Network", in Proceedings of Spects'00, SCS Symposium on Performance Evaluation of Computer and Telecommunication Systems, Vancouver, Canada.

Keywords

GSM, GPRS, EDGE, Real-time, Non-Real-time, Handoff