Quality of service parameters estimation model for adaptive bandwidth service in mobile cellular networks

An adaptive framework paradigm where the bandwidth values of the ongoing calls vary according to the traffic situations is one of the promising concepts for overcoming poor resource conditions due to handoffs in mobile cellular networks. However, quantifying the level of bandwidth degradation of the ongoing calls in an adaptive framework is important in view of Quality of Service (QoS) provisioning. Therefore we introduce new QoS parameters, the Degradation Degree Ratio (DDR), which represents the average portion of the degradation degree during degradation period of a call, and the Degradation Area Ratio (DAR), which represents the average ratio of a call's degradation level considering both the period and the degree of degradation jointly in multi-level bandwidth service. We also develop a new analytical model for estimating the QoS measures such as the Degradation Period Ratio (DPR), DDR and DAR. We show how to calculate the QoS measures and illustrate the method by numerical examples. The proposed model can be used to determine the optimal parameter of the CAC scheme and analyze the sensitivity of the QoS parameters in adaptive networks.