Performance of Soft Handover Algorithm in Varied Propagation Environments
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33104
Performance of Soft Handover Algorithm in Varied Propagation Environments

Authors: N. P. Singh, Brahmjit Singh

Abstract:

CDMA cellular networks support soft handover, which guarantees the continuity of wireless services and enhanced communication quality. Cellular networks support multimedia services under varied propagation environmental conditions. In this paper, we have shown the effect of characteristic parameters of the cellular environments on the soft handover performance. We consider path loss exponent, standard deviation of shadow fading and correlation coefficient of shadow fading as the characteristic parameters of the radio propagation environment. A very useful statistical measure for characterizing the performance of mobile radio system is the probability of outage. It is shown through numerical results that above parameters have decisive effect on the probability of outage and hence the overall performance of the soft handover algorithm.

Keywords: CDMA, Correlation coefficient, Path loss exponent, Probability of outage, Soft handover.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1060517

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1723

References:


[1] K. S. Gilhousen, I.M. Jacobs, R. Padovani, L. Weaver, " Increased Capacity using CDMA for Mobile Communications", IEEE Journal on Selected Areas in Communications, Vol. 8, May 1990, pp. 503-514.
[2] A.J. Viterbi, A.M. Viterbi, K.S. Gilhousen, E. Zehavi, "Soft Handoff Extends Cell Coverage and Increases Reverse Link Capacity," IEEE Journal on Selected Areas in Communications, Vol. 12, October 1998, pp. 1281-1287.
[3] N. Jhang, J.M. Holtzman, "Analysis of CDMA Soft-Handoff Algorithm", IEEE Transactions on Vehicular Technology, Vol. 47, May 1998, pp. 710-714.
[4] Wong, D., Teng Joon Lim: Soft handoffs in CDMA mobile systems. IEEE Wireless Communications, Vol. 4, No. 6 (1997) 6-17.
[5] Wang, S.S., Sridhar, S., Green, M.; Adaptive soft handoff method using mobile location information. IEEE 55th Vehicular Technology Conference, Vol. 4 (2002) 1936-1940.
[6] Akar, M., Mitra, U.: Soft handoff algorithms for CDMA cellular networks. IEEE Transactions on Wireless Communications, Vol. 2, No. 6 (2003) 1259-1274.
[7] B. Homnan, V. Kunsriruksakul, W. Benjapolakul, "A Comparative Evaluation of Soft Hnadoff between IS-95A and IS-95B/cdma2000", Proc. IEEE Vehicular Technology, 2000, pp. 34-37.
[8] V. Vassiliou, J. Antoniu, A. Pitsillides, G. Hadjipollas, " Simulating Soft Handover and Power Control for Enhanced UMTS", IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications, 2005, pp. 1646-1651.
[9] D. Zhang, G, Wei, J. Zhu, "Performance of Hard and Soft Handover for CDMA Systems", IEEE Vehicular Technology Conference 2002, pp. 1143-1147.
[10] J. Reig, "Capacity Analysis in Downlink WCDMA Systems Using Soft Hanodver Techniques With SIR-Based Power Control and Site Selection Diversity Transmission", IEEE Transactions on Vehicular Technology, Vol. 55, July 2006, pp. 1362-1372.
[11] A.E. Leu B.L. Mark, "Discrete-time Analysis of Soft Handoff in CDMA Cellular Networks", Proc. IEEE Vehicular Technology Conference, 2002, pp. 3222-3226.
[12] V. K. Garg, J.E. Wilkes, "Principles and Applications of GSM", Prentice Hall PTR, Upper Saddle River, NJ 07458.
[13] K. Feher, "Wireless Digital Communications, Modulation and Spread Spectrum Applications", Prentice-Hall of India, New Delhi-2001.
[14] V. M. Gudmundson, "Correlation Model for Shadow Fading in Mobile Radio Communication System," Electronics Letters., vol.27, November 1991, pp.2145-2146.
[15] G.E. Corazza D. Giancristofaso, F. Santucci, "Characterization of Handover Initiation in Cellular Mobile Radio Networks", IEEE Technology Conference, 1994, pp. 1869-1872.