Conceptual and analytical models for predicting the quality of service of overall telecommunication systems

This chapter presents scalable conceptual and analytical performance models of overall telecommunication systems, allowing the prediction of multiple Quality of Service (QoS) indicators as functions of the user- and network behavior. Two structures of the conceptual presentation are considered and an analytical method for converting the presentations, along with corresponding additive and multiplicative metrics, is proposed. A corresponding analytical model is elaborated, which allows the prediction of flow-, time-, and traffic characteristics of terminals and users, as well as the overall network performance. In accordance with recommendations of the International Telecommunications Union’s Telecommunication Standardization Sector (ITU-T), analytical expressions are proposed for predicting four QoS indicators. Differentiated QoS indicators for each subservice, as well as analytical expressions for their prediction, are proposed. Overall pie characteristics and their causal aggregations are proposed as causal-oriented QoS indicators. The results demonstrate the ability of the model to facilitate a more precise dynamic QoS management as well as to serve as a source for predicting some Quality of Experience (QoE) indicators

Investigating the combustion of energetic materials with a boron additive by the method of small-angle X-ray scattering

The authors have presented results of investigation into the process of combustion of solid specimens consisting of ammonium perchlorate and a binder with boron and aluminum-dodecaboride additives by the method of small-angle x-ray scattering with a high time resolution using high-speed optical photography. An analysis has been made of the particles preserved after the combustion. It has been shown that the procedure of small-angle x-ray scattering permits recording particles of the B and AlB12 additive directly in the combustion wave of the compound