Modeling and Evaluation of Soft Handoff in Wireless Communication Networks for Effective Performance Based on Traffic Indicators

The ever growing provision of highly developed services in Mobile networks required operators to offer severe Quality of Service (QoS) assurance. This goal can be accomplished by applying several optimization measures. One of the most significant indexes for QoS evaluation is the call admission and drop-call probability. Consequently, these core indexes in networks service performance have not deeply been studied in well-established mobile network environments. Indeed, these requirements, judging from an accurate statistical analysis on realistic data call for a proposed model for optimizing soft handoff of the call admission and subsequent drop call occurrences in Code Division Multiple Access (CDMA) Networks. Performance analysis on statistical field data validates the efficiency of the model already available theoretically, considering handoff failure as the main reason of drop calls, which offer a minor contribution for service optimization in an established cellular network. Basically, many other incidents indicate more relevant factor in influencing the call admission and call dropping. Nonetheless, the proposed model relates the drop-call probability with call admission parameters. The level of its effectiveness has been demonstrated and authenticated by experimental procedures. Essentially, results reveal how each traffic parameter affects cellular network performance and QoS provisioning. Consequently, network performance considered response time indicating how fast a packet can be sent or how quickly a document can be retrieved. The outcome of this work demonstrates how the network performance can be affected by traffic metrics; types of network traffic, the number of devices connected on the network, network latency, number of transmission errors and the bandwidth of the transmission medium.