Skip to main content
Log in

Call Admission Control for Soft Handoff Coverage in CDMA Cellular System

  • Published:
International Journal of Wireless Information Networks Aims and scope Submit manuscript

Abstract

In code division multiple access mobile cellular networks, the transmission quality can be improved by using the soft handoff techniques. The present investigation is concerned with the admission control policies by exploiting the soft handoff coverage area of the cellular radio network. We suggest finite Markov models for the admission control based on reserve channel and sub-rating policies. In reserve channel policy, a fixed number of channels are reserved exclusively to serve the handoff calls whereas according to sub-rating policy, the occupied channels can be split into two half rate channels to accommodate more handoff voice calls. It is also considered that the new call generation rate per unit area is uniformly distributed over the service area. Various performance indices are derived in terms of steady state probabilities. For some special situations, we validate and compare the models developed with previous existing models by setting the system descriptors. To examine the effect of various parameters on the performance measures, the sensitivity analysis is carried out by taking illustrations.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  1. M. H. Ahmed and S. A. Mahmoud, QoS based admission and load control algorithm for integrated voice/data services over wideband CDMA, Wireless Personal Communications, Vol. 23, pp. 11–29, 2003.

    Article  Google Scholar 

  2. Gowri. S. S. Anupama and B. P. Rao, A survey of soft handoff prioritization schemes in CDMA cellular networks, International Journal of Engineering Science and Technology, Vol. 3, No. 4, pp. 2811–2824, 2011.

    Google Scholar 

  3. D. Avidor, N. Hegde and S. Mukherjee, On the impact of the soft handoff threshold and maximum size of the active group on resource allocation and outage probability in the UTMS system, IEEE Transactions on Wireless Communications, Vol. 3, pp. 565–577, 2004.

    Article  Google Scholar 

  4. M. Cho, K. Park, D. Son and K. Cho, Effect of soft handoffs on channel resource in DS-CDMA mobile systems, IEEE Transactions on Communications, Vol. E-85, No. B, pp. 1499–1510, 2002.

    Google Scholar 

  5. K. C. Chu, L. P. Hung and F. Y. S. Lin, Adaptive channel reservation for call admission control to support prioritized soft handoff in a cellular CDMA system, Annals of Telecommunications, Vol. 64, pp. 777–791, 2009.

    Article  Google Scholar 

  6. S. Ghosh and A. Konar, Call Admission Control in Mobile Cellular Network437 ed., Series of Studies in Computational Intelligence. SpringerBerlin, 2013.

    Book  Google Scholar 

  7. S. C. Ghosh, R. M. Whitaker, S. M. Allen and S. Hurley, Optimising CDMA cell planning with soft handover, Wireless Personal Communications, Vol. 68, No. 2, pp. 321–347, 2013.

    Article  Google Scholar 

  8. R. A. Guerin, Channel occupancy time distribution in a cellular radio system, IEEE Transactions on Vehicular Technology, Vol. VT-35, pp. 89–99, 1987.

    Article  Google Scholar 

  9. M. Jain and R. Mittal, Performance analysis in double layer cellular network with new call bounding scheme and directed retry, CSI: Computer Society of Iran, Journal of Computer Science and Engineering, Vol. 9, No. 2, pp. 1–10, 2014.

  10. M. Jain and Rakhee, Priority based channel allocation schemes for PCS with integrated traffic. Emerging Convergent Technologies and Systems (SECATS), Allied Publishers Ltd., New Delhi, (Ed. S. B. Rao), pp. 79–84, 2002.

  11. M. Jain, G. C. Sharma and R. Mittal, Transient analysis of channel allocation in cellular radio network with balking and reneging, CSI Computer Society of India, Vol. 38, No. 4, pp. 11–19, 2008.

    Google Scholar 

  12. M. Jain, G. C. Sharma and R. Mittal, Performance analysis of a prioritized call admission control schemes for integrated traffic in wireless network, International Journal of Electronics Communication and Computer Engineering, Vol. 4, No. 1, pp. 283–291, 2013.

    Google Scholar 

  13. M. Jain, G. C. Sharma, and R. Mittal, Queueing analysis and channel assignment scheme for cellular radio system with GPRS services, International Journal of Mathematics in Operational Research, Vol. 6, No. 6, pp. 704–731, 2014.

  14. J. Khan, Handover management in GSM cellular system, International Journal of Computers and Applications, Vol. 8, No. 12, pp. 14–24, 2010.

    Article  Google Scholar 

  15. D. K. Kim and D. K. Sung, Traffic management in a multicode CDMA system supporting soft handoffs, IEEE Transactions on Vehicular Technology, Vol. 51, pp. 52–62, 2002.

    Article  Google Scholar 

  16. X. Ma, Y. Liu and K. S. Trivedi, Design and performance analysis of a new soft handoff scheme for CDMA cellular systems, IEEE Transactions on Vehicular Technology, Vol. 55, No. 5, pp. 1603–1612, 2006.

    Article  Google Scholar 

  17. S. S. Rappaport, Models for Call Handoff Schemes in Cellular Communication Networks, Third Generation Wireless Information Networks, Kluwer Academic Publisher Norwell, 1992. pp. 163–185.

    Book  Google Scholar 

  18. S. D. Roy and S. Kundu, Performance analysis of cellular CDMA in presence of beam forming and soft handoff, Progress in Electromagnetic Research (PIER), Vol. 88, pp. 73–89, 2008.

    Article  Google Scholar 

  19. V. K. Saini and S. C. Gupta, Improving capacity of soft handoff performance in wireless mobile communication using macro diversity, International Journal of Computational Science and Engineering, Vol. 3, No. 6, pp. 2217–2223, 2011.

    Google Scholar 

  20. M. Salamah and H. Lababidi, Dynamically adaptive channel reservation scheme for cellular network, Computer Networks, Vol. 49, No. 6, pp. 787–796, 2005.

    Article  Google Scholar 

  21. A. Sgora and D. Vergados, Handoff prioritization and decision scheme in wireless cellular network: a survey, IEEE Communications Surveys & Tutorials, Vol. 11, No. 4, pp. 57–77, 2009.

    Article  Google Scholar 

  22. T. L. Sheu and T. L. Hou, An analytical model of cell coverage for soft handoffs in cellular CDMA systems, GESTS International Transactions on Computer Science and Engineering, Vol. 18, No. 1, pp. 209–223, 2005.

    Google Scholar 

  23. T. L. Sheu and T. L. Hou, On the influences of enlarging or shrinking the soft handoff coverage for a cellular CDMA system, Journal of Information Science and Engineering, Vol. 23, pp. 1453–1467, 2007.

    Google Scholar 

  24. S. Tamilselva and K. Manivannan, Optimization of soft handoff margin in WCDMA cellular system, International Journal of Communication Networks and Distributed Systems, Vol. 4, No. 3, pp. 254–264, 2010.

    Article  Google Scholar 

  25. R. Thomas, H. Gibert, and G. Mazziotto, Influence of the movement of mobile station on the performance of a radio cellular network. In: Proceedings of 3rd Nordic Seminar, Copenhagen, Denmark, pp. 94–106, 1988.

  26. V. V. Veeravalli and A. Sendonaris, The coverage-capacity trade-off in cellular CDMA systems, IEEE Transactions on Vehicular Technology, Vol. 48, No. 5, pp. 1443–1450, 1999.

    Article  Google Scholar 

  27. J. Zhang, J. W. Mark and X. Shen, An adaptive resource reservation strategy for handoff in wireless CDMA cellular networks, Canadian Journal of Electrical and Computer Engineering, Vol. 29, No. 1, pp. 77–83, 2007.

    Google Scholar 

Download references

Acknowledgments

We are thankful to Professor G. C. Sharma, Dr. B. R. A. University, Agra for his advice and to the Chief Editor and learned reviewers for their valuable suggestions and comments for the improvement of the paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ragini Mittal.

Appendix 1

Appendix 1

1.1 Product type solution

Using the appropriate transition rate and with the help of the state transition diagram i.e. Fig. 3, the following set of equations is constructed.

$$- (\lambda_{n} + \lambda_{h} )P_{0} + \mu \,P_{1} = 0$$
(30)
$$(\lambda_{n} + \lambda_{h} )P_{j - 1} - (\lambda_{n} + \lambda_{h} + j\mu )P_{j} \, + \mu (j + 1)\,P_{j + 1} = 0, \quad1 \le j \le C - r - 1$$
(31)
$$(\lambda_{n} + \lambda_{h} )P_{C - r - 1} - (\lambda_{n} + \lambda_{h} + (C - r)\mu )P_{C - r} \, + \mu (C - r + 1)\,P_{C - r + 1} = 0$$
(32)
$$\lambda_{h} \,P_{j - 1} - (\lambda_{h} + j\mu )P_{j} \, + \mu (j + 1)\,P_{j + 1} = 0,\,C - r + 1 \le j \le C - 1$$
(33)
$$\lambda_{h} \,P_{C - 1} - \,C\,\mu \,P_{C} \, = 0$$
(34)

Equation (30) can be written as

$$P_{1} = \frac{{(\lambda_{n} + \lambda_{h} )}}{\mu }P_{0}$$
(35)

Solving Eqs. (31) and (32) recursively, we obtain product type result given in Eq. (15) for the interval \(1 \le j \le C - r\).

Similarly, on solving Eqs. (33) and (34) recursively, we get the product type result as given in Eq. (15) for the range \(C - r + 1 \le j \le C\).

Now, on applying the normalizing condition i.e. \(\sum\nolimits_{j = 0}^{C} {P_{j} = 1}\), we obtain Eq. (16).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jain, M., Mittal, R. Call Admission Control for Soft Handoff Coverage in CDMA Cellular System. Int J Wireless Inf Networks 22, 53–66 (2015). https://doi.org/10.1007/s10776-014-0255-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10776-014-0255-7

Keywords

Navigation