Bamidele Moses Kuboye; Boniface Kayode Alese; Olumide Sunday Adewale; Samuel Oluwole Falaki

Multi-Level Access Priority Channel Allocation with Time Threshold in Global System for Mobile Communications (GSM) Networks

Full Text (PDF, 604KB), PP.17-28

Views: 0 Downloads: 0

Author(s)

Bamidele Moses Kuboye ^1,* Boniface Kayode Alese ¹ Olumide Sunday Adewale ¹ Samuel Oluwole Falaki ²

1. Department of Computer Science, the Federal University of Technology, Akure, Nigeria

2. Department of Electrical and Electronics Engineering, Afe Babalola University, Ado Ekiti, Nigeria

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2015.11.03

Received: 11 Jan. 2015 / Revised: 2 Apr. 2015 / Accepted: 29 Jun. 2015 / Published: 8 Oct. 2015

Index Terms

GSM, Congestion, Multi-dimensional Erlang B Blocking, Markov chain’s, ime-Threshold scheme

Abstract

The focus of this work is on how the congestion experienced on the GSM network can be minimized. The voice calls is broken into sub-classes of services and a level of priority is established among the classes so that the most urgent and important service will have access to the channel by preempting the lower priority services during congestion. The voice communications over the GSM network using the different classes of subscribers were analyzed with Markov chain’s model. The steady state probabilities for voice services were derived. The blocking and dropping probabilities models for the different services were developed using the Multi-dimensional Erlang B. To give a new call a fair sharing of the channel, Time-Threshold scheme is employed. This scheme classifies handoff call as either prioritised call or new call according to its associated elapsed real time value. The models were implemented based on the blocking and dropping probabilities models to show how the congestion can be minimised for different subscribers based on their priority levels. The work shows that the models used gave significant reduction in congestion when compared to the traditional Erlang-B model used in GSM.

Cite This Paper

Bamidele Moses Kuboye, Boniface Kayode Alese, Olumide Sunday Adewale, Samuel Oluwole Falaki, "Multi-Level Access Priority Channel Allocation with Time Threshold in Global System for Mobile Communications (GSM) Networks", International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.11, pp.17-28, 2015. DOI:10.5815/ijitcs.2015.11.03

Reference

[1]www.iec.org/online/tutorials/gsm

[2]B.M Kuboye. “Development of A Framework for Managing Congestion in Global System for Mobile Communications in Nigeria”, M.Tech Project, 2006.

[3]Hartel, R. Levine, G. Livingtone “GSM Superphones”, McGraw-Hill, 1999.

[4]A. Maheshwari, A. Agrawal, H. Venkataraman, and Muntean. “PRIoritized Multimedia Adaptation Scheme over Two-Hop Heterogeneous Wireless Networks (PRiMA)”. IAENG Engineering Letters, 2010:18:2..

[5]N. S. Reshamwala “Time-Delay Neural Network for Smart MIMO Channel Estimation in Downlink 4G-LTE-Advance System”, I.J. Information Technology and Computer Science, 2014, 06, 1-8

[6]A. Mehrotra. “GSM System Engineering”, Artech Home, Inc, 1997

[7]K. Sofoklis A. “Capacity Utilization in Cellular Networks of Present and Future Generation”, www.telecom.ece.ntua.gr/-caution/, 2002.

[8]Gupta and Sachan. “Distributed Dynamic Channel Allocation Algorithm for Cellular Mobile Network”, Journal of Theoretical and Applied Information Technology, 2007

[9]G. Budura, C. Balint, A. Budura, and E. Marza, (2009). “Traffic Models and Associated Parameters in GSM/ (E)GPRS Networks”. WSEAS Transactions on Communications, Issue 8, Volume 8, 2009.

[10]S. Anand, A. Sridharan, and K. N. Sivara-jan. “Blocking Probability Analysis of Cellular Systems under Dynamic Channel Allocation”, ICPWC, IEEE, 2000.

[11]S. Fong. “Data Mining for Resource Planning and QoS Supports in GSM Networks” Journal of Emerging Technologies in Web Intelligence, Vol. 3, No. 2, May 2011

[12]N. Ekiz, T. Salih, S. Kü?ük?ner and K. Fidanboylu. “An Overview of Handoff Techniques in Cellular Networks” International Journal of Information Technology, Volume 2 Number 2 2006.

[13]B. Bhowmik. “A Comparison Study on Selective Traffic Models with Handoff Management Scheme for Wireless Mobile Network Infrastructure”, I.J. Information Technology and Computer Science, 2013, 02, 66-72.

[14]Sgora and Vergados. “Handoff Prioritization and Decision Schemes in Wireless Cellular Networks: A Survey” IEEE Communications Surveys & Tutorials, Vol. 11, No. 4, Fourth Quarter 2009.

[15]A. Zeng and D.P. Agrawal. “Modeling and Efficient Handling of Handoffs in Integrated Wireless Mobile Networks,” IEEE Trans. Vehicular Technology, Vol. 51, No. 6, 2002.

[16]S. D. Roy and S. Kundu. ‘’Forward Link Data Service with Beamforming and Soft Handoff in Cellular CDMA’’. IAENG Engineering Letter, 2009, 17:2.

[17]L. Tang, T. Shensheng and L. Wei. “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.

[18]R. Syski,. “Introduction to Congestion Theory in Telephone Systems” ?Elserier Science Publishers B. V. 1996.

[19]M. A. Marsan, G. D. Carolis, E. Leonardi, R. Cigno L.,and M. Meo. “Efficient Estimation of Call Blocking Probabilities in Cellular Mobile Telephony Networks with Customer Retrials”, IEEE Journal on Selected Communications, 2001

[20]P. Tran-Gia and M. Mandjes. “Modeling of Customer Retrial Phenomenon in Cellular Mobile Networks”, IEEE Journal of Selected Areas in Communications, 1406-1414, 1997.

[21]J. Roszik, Sztrik J. and Virtamo J. J. “Performance Analysis of Finite-Source Retrial Queues Operating in Random Environments”, Int. J. Operational Research, Vol. 2, No. 3, 2007.

[22]C. W. Leon, W. Zhuang, Y. Cheng and L. Wary. “Optimal Resource Allocation and Adaptive Call Admission Control for Voice/Data Integrated cellular Network.” IEEE transactions on Vehicular Technology, Vol. 55, No. 2, 2006.

[23]Candan and Salamah. “Performance and Analysis of a Time-Threshold Based Bandwidth Allocation Scheme for Data Calls in Cellular Networks”, 0-7695-2699-3/06 (c) IEEE, 2006.

[24]W.K New, K Wee, Y.Y Wee and C. Wong. “WiMAX: Performance Analysis and Enhancement of Real-time Bandwidth Request”. IAENG International Journal of Computer Science, 40:1, IJCS_40_1_03, 2013.

[25]P. A Wüchner, J. B Sztrik. and H. De_Meer. “Finite-Source M/M/S Retrial Queue with Search for Balking and Impatient Customers from the Orbit” Computer Networks. Doi:10.1016/J.Comnet.2009.02.015 www.elsevier.com/locate/comnet, 2009.

[26]J.Roszik, J. Sztrik and K. Che-Soong. “Retrial Queues in The Performance Modeling of Cellular Mobile Networks Using Mosel”, International Journal of Simulation, Vol. 6 No. 1-2, 2003.

[27]R. Guerin. "Queueing-Blocking System with Two Arrival Streams and Guard Channels," IEEE Transactions on Communications, Vol. 36, No. 2, Pp. 153-163, 1988.

[28]E. Onur, H. Delic, C. Ersoy and M. U. Caglayan. “Measurement-Based Replanning of Cell Capacities in GSM Networks”, Computer Networks, 749-767, 2002.

[29]H. Takagi and B. H. Walke. “Spectrum Requirement Planning In Wireless Communications: Model and Methodology for IMT-Advanced”, John Wiley & Sons, Ltd. ISBN 978-0-470-98647-9, 2008

[30]I. Augus. “Introduction to Erlang B and Erlang C” Telemanagement Business Magazine, July-August, Canada, 2001.

[31]B. M. Kuboye, B. K. Alese, O. Fajuyigbe, O. S. Adewale. “Development of Models for Managing Network Congestion on Global System for Mobile Communication (GSM) in Nigeria”, Journal of Wireless Networking and Communications, 1(1): 8-15. DOI: 10.5923/j.jwnc.20110101.02. 2011.

International Journal of Information Technology and Computer Science (IJITCS)