Performance of Soft Handover Algorithm in Varied Propagation Environments

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.

Authors:

• N. P. Singh
• Brahmjit Singh

Keywords:

• CDMA
• Correlation coefficient
• Path loss exponent
• Probability of outage
• Soft handover.

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.