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The IUP Journal of Computational Mathematics :
Performance Analysis of Soft Handoff Algorithm in CDMA Systems Using Fuzzy Logic
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Soft Handoff (SHO) is used in cellular Code Division Multiple Access (CDMA) systems. One possible method for improving the performance of conventional soft handoff is to adapt the soft handoff thresholds. In this paper, the performance of the soft handoff algorithm in CDMA systems using fuzzy logic is analyzed, and a new procedure is proposed. The proposed algorithm is compared with IS-95A and IS-95B SHOs. The proposed algorithm has two aims: to decrease the thresholds at low traffic loads so that high quality of traffic channel can be assured, and to increase the thresholds at high traffic loads so as to release the traffic channel for supporting more carried traffic. Analysis of the results shows that the proposed algorithm has better performance in terms of outage probability, blocking probability and Eb/I0 ratio, when compared to IS-95A and IS-95B SHO algorithms.

Soft Handoff (SHO) is used in cellular Code Division Multiple Access (CDMA) whereby Mobile Stations (MSs) near the cell boundary communicate the same transmitted signals to more than one Base Station (BS) within their vicinity. The handoff process in SHO algorithms starts at the threshold value of the parameters. These SHO threshold parameters can be fixed or adjusted dynamically (Hwang et al., 1997; and Wong and Lim, 1997). The fixed thresholds perform poorly compared to the dynamically adjusted threshold handoff algorithm. At increased thresholds and high traffic loads, the performance of the SHO algorithm increases in order to release the traffic channel so that it can support more carried traffic. On the other hand, at decreased thresholds and low traffic loads, the performance of SHO decreases in order to provide high quality of traffic channel (Chheda, 1999).

The performance of the SHO algorithm also depends upon a number of input parameters such as the number of remaining channels at each BS, and the number of active pilots in the active set of each mobile. The output of the SHO algorithm is the adjusted threshold value. Chheda (1999) analyzed the performance of IS-95A and IS-95B/cdma2000 SHO algorithm, based on this adjusted value of the threshold parameter. The performance of IS-95A and IS-95B/cdma2000 SHO at high traffic loads and lower SHO threshold for an acceptable quality traffic channel was also reported for a wider SHO threshold value of algorithm.

 
 
 

Soft Handoff, performance, Code Division Multiple Access, thresholds, handoff algorithm, fuzzy logic, Mobile Stations, communicate, Base Station, parameters, probability