Comparison of three diversity handover algorithms by using measured propagation data

Laiho-Steffens, J.; Jasberg, M.; Sipilä, Kari; Wacker, A.; Kangas, A.

doi:10.1109/vetec.1999.780571

Cited by 4 publications

(1 citation statement)

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“…The performance of soft handover is closely related to the algorithm [17,20,21,23]. 2G CDMA networks used soft handover algorithm with fixed threshold [3,7,10] but 3G CDMA networks used relative Soft Handover Margin (SHM) [14] for enhancing performance. The soft handover margin is the maximum allowed difference, measured in dBm, between the received power from the best serving base station and the received power from a candidate base station to be included in the active set of the user equipment.…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement of Cellular Network Using Adaptive Soft Handover Algorithm

Singh

2010

Wireless Pers Commun

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Mobility management is the most important feature of a wireless cellular communication system. Continuation of an active call is one of the most important quality measurements in the cellular systems. Handover makes it possible for a user to travel between various networks or cells while having a seamless connection. This paper shows that, performance of cellular network can be increased with proposed adaptive soft handoff algorithm, which dynamically calculates the Soft handover margin based on the received signal strength and distance. Performance is evaluated in terms of the performance metrics active set update rate, active set size, soft handover region and probability of outage. Simulation results show that soft handover algorithm gives better performance with adaptive soft handoff margin compared to that of fixed soft handover margin in varied propagation conditions.Keywords CDMA · Soft handover margin · Active set update rate · Mean active set size · Soft handover region · Probability of outage · Shadowing process

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