Skip to main content
Springer Nature Link
Log in

Performance Model of a WIMAX 2.0 All-IP 4G System

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

4G is promising a wireless broadband with data rates up to 1Gbps. The two candidate technologies for 4G are the Advanced Long Term Evolution (Advanced LTE) which is based on the 3GPP standards and the WiMAX 2.0 based on the IEEE 802.16 family of standards. The common feature of both technologies is that they will provide All-IP connectivity with flexible bit rates and quality of service guarantees for multiple classes of services including voice, mainly using voice over IP, data and video services. Most of the performance studies of 4G technologies use highly complex and sophisticated simulations due to the multiple complexity factors in investigating 4G technologies such as All-IP flexible bit rates, adaptive coding and modulation as well as the multi-services provided. These factors usually make any modelling attempt very difficult. This paper presents a numerical/analytical model for a 4G WiMAX cell based on a multi-dimensional Continuous-Time Markov Chain (CTMC) model. Performance measures were derived for the key performance indicators such as throughput and average bit rate per cell and per service class. By assuming minimum acceptable bit rates for certain quality of service guarantees, we derived measures for blocking probabilities. The model has been formulated and solved using MOSEL-2 (Modelling Specification and Evaluation Language) which captures the key features of a 4G system that affect services at session/call level. The resuls obtained from the model using sample parameters show that, the model can provide very useful insight to system behavior and can give good first indication to the performance of such a complex system.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. Cisco. (2012). Cisco visual networking index: Forecast and methodology, 2011–2016. May 30. White paper, Cisco Public Information.

  2. IEEE 802.16-2004. (2004). IEEE standard for local and metropolitan area networks–part 16: Air interface for fixed broadband wireless access systems.

  3. IEEE 802.16e-2005. (2006). Amendment for physical and medium access control layers for combined fixed and mobile operation in licensed bands.

  4. ITU press release. (2007). http://www.itu.int/newsroom/press_releases/2007/30.html. Accessed 10 Jan 2012.

  5. ITU press release. (2010). http://www.itu.int/net/pressoffice/press_releases/2010/48.aspx. Accessed 10 Jan 2012.

  6. ITU-R M.1645. (2003). Framework and overall objectives of the future development of IMT-2000 and systems beyond IMT-2000.

  7. 3GPP TS 25.913. (2007). Requirements for evolved UTRA (E-UTRA) and evolved UTRAN (E-UTRAN) release 7.

  8. Gessner, C., Roessler, A., & Kottkamp, M. (2012). \(IMA111\_3E\), UMTS long term evolution (LTE) technology introduction. Rohde and Schwarz, Application note, July 2012.

  9. Korowajczuk, L. (2011). WiMAX. In LTE, WIMAX and WLAN network design, optimization and performance analysis (pp. 341–408). New York: Wiley.

  10. Wong, C. Y., Cheng, R. S., Lataief, K. B., & Murch, R. D. (1999). Multiuser OFDM with adaptive subcarrier, bit, and power allocation. IEEE Journal on Selected Areas in Communications, 17(10), 1747–1758.

    Article  Google Scholar 

  11. Ahmadi, S. (2009). An overview of next-generation mobile WiMAX technology. IEEE Communications Magazine, 47(6), 84–98.

    Article  MathSciNet  Google Scholar 

  12. Li, Q., Li, G., Lee, W., Lee, M. I., Mazzarese, D., Clerckx, B., et al. (2010). MIMO techniques in WiMAX and LTE: A feature overview. IEEE Communications Magazine, 48(5), 86–92.

    Article  Google Scholar 

  13. Yang, Y., Hu, H., Xu, J., & Mao, G. (2009). Relay technologies for WiMAX and LTE-advanced mobile systems. IEEE Communications Magazine, 47(10), 100–105.

    Article  Google Scholar 

  14. Etemad, K. (2008). Overview of mobile WiMAX technology and evolution. IEEE Communications Magazine, 46(10), 31–40.

    Article  Google Scholar 

  15. Mohd, D. A., Noordin, K. A., Dimyati, K., & Idris, A. (2011). Modelling and performance analysis of uplink scheduling algorithm in Mobile WiMAX systems. International Journal of the Physical Sciences, 6(14), 3487–3501.

    Google Scholar 

  16. El Bouchti, A., El Kafhali, S., & Haqiq, A. (2011). Performance modelling and analysis of connection admission control in OFDMA based WiMAX system with MMPP queuing. World of Computer Science and Information Technology Journal (WCSIT), 1(4), 148–156.

    Google Scholar 

  17. Elayoubi, S. E., & Fourestié, B. (2008). Performance evaluation of admission control and adaptive modulation in OFDMA WiMax systems. IEEE/ACM Transactions on Networking, 16(5), 1200–2011.

    Article  Google Scholar 

  18. Tarhini, C., & Chahed, T. (2006). System capacity in OFDMA-based WiMAX. In International conference on systems and networks communications, ICSNC ’06 (pp. 70–74).

  19. Kim, M. (2012). Capacity analysis of best-effort broadcasting services with reliability constraint. In International conference on computing, networking and communications (ICNC) (pp. 1133–1137). Korea, Jan 30 2012-Feb 2 2012.

  20. Baynat, B., Nogueira, G., Maqbool, M., & Coupechoux, M. (2009). An efficient analytical model for the dimensioning of WiMAX networks. In L. Fratta, H. Schulzrinne, Y. Takahashi & O. Spaniol (Eds.), Networking 2009, LNCN-lecture notes in computer science series (5550) (pp. 521–534). Berlin:Springer.

  21. So-In, C., Jain, R., & Tamimi, A. (2010). Capacity evaluation for IEEE 802.16e mobile WiMAX. Journal of Computer Systems, Networks, and Communications, special issue on WiMax, LTE, and WiFi internetworking (1).

  22. Hosein, P. (2007). VoIP capacity model for an OFDMA downlink. In IEEE 66th vehicular technology conference, VTC-2007 Fall. 2007 (pp. 1812–1816), Sept 30 2007-Oct 3 2007.

  23. Al-Begain, K., Bolch, G., & Herold, H. (2001). Practical performance modelling (p. 410). Application of MOSEL language: Kluwer Academic Publisher.

  24. MOSEL home page. http://www4.informatik.uni-erlangen.de/Projects/MOSEL/. Accessed 1 July 2012.

  25. Wuechner, P. (2003). Performance modelling of mobile networks using MOSEL-2. M.S. Thesis, Department of computer science, University of Erlangen, Germany.

  26. Zreikat, A. I., Suleiman, Y., & Al-Begain, K. (2008). Performance evaluation and resource management of heirarchical MACRO-/MICRO cellular networks using MOSEL-2. Wireless Personal Communications, 44(2), 153–179.

    Article  Google Scholar 

  27. Zreikat, A. I., & Bolch, G. (2007). Performance evaluation of queuing networks with finite capacity and non-exponential distribution using MOSEL-2. AMSE. In Advances in modelling (Series D: Computer Science and Statistics) (Vol. 12, no. 4, pp. 87–107).

  28. Al-Begain, K., Barner, J., Bolch, G., & Zreikat, A. I. (2003). The performance and reliability modelling language MOSEL and its applications. International Journal in Simulation: Systems, Science and technology, 3(3–4), 66–80.

    Google Scholar 

  29. Zreikat, A. I., Bolch, G., & Sztrik, J. (2003). Performance modeling of non-homogeneous unreliable multi-server systems using MOSEL. International Journal in Computers and Mathematics with Applications, 46, 293–312.

    Article  MATH  Google Scholar 

Download references

Acknowledgments

The authors would like to thank the Scientific Research Support Fund (SRSF); Ministry of Higher Education, Jordan for their financial support.

Author information

Authors and Affiliations

  1. Department of Information Technology, Faculty of Science, Mu’tah University, P.O. Box 7, Mu’tah, 61710, Jordan

    Aymen I. Zreikat

  2. Department of Computer Science and Engineering, Faculty of Computer Science and Information Technology, Al-Baha University, P.O. Box 1988, Al-Baha, Saudi Arabia

    Ismat A. Aldmour

  3. Faculty of Advanced Technology, Integrated Communications Research Centre, University of Glamorgan, Pontypridd, CF37 1SQ, UK

    Khalid Al-Begain

Authors
  1. Aymen I. Zreikat
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Ismat A. Aldmour
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Khalid Al-Begain
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Aymen I. Zreikat.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zreikat, A.I., Aldmour, I.A. & Al-Begain, K. Performance Model of a WIMAX 2.0 All-IP 4G System. Wireless Pers Commun 72, 191–210 (2013). https://doi.org/10.1007/s11277-013-1008-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-013-1008-0

Keywords