Thesis for the degree of Doctor of Philosophy in the specialty 172 “Telecommunications and Radio Engineering” in the field of knowledge 17 “Electronics and Telecommunications.” State University “Kyiv Aviation Institute” of the Ministry of Education and Science of Ukraine. – Kyiv, 2026.
The dissertation is devoted to the study and solution of an urgent scientific and practical problem, which consists in improving the efficiency of short message service (SMS) delivery in 4G/5G networks by integrated consideration of technical, user, and economic factors, as well as minimizing the impact of artificially generated traffic (Artificially Inflated Traffic, AIT) on delivery quality and cost indicators.
The aim of the dissertation is to develop methods and models for quantitative assessment and improvement of SMS delivery efficiency in next-generation networks based on the integration of QoS, QoE, and economic efficiency indicators, formalized through the Price Delivery Gap (PDG) indicator.
To achieve this goal, the dissertation addresses the following tasks:
• analyze the evolution of SMS architecture and technologies in 2G–5G networks and identify factors that affect delivery efficiency;
• systematize scenarios for using SMS in 4G/5G networks and their impact on quality and cost parameters;
• justify PDG as an integral metric of the technical and economic efficiency of message delivery;
• develop an integrated IGDP (Integrated Gap-Delivery-Performance) model that combines QoS, QoE, and PDG;
• build mathematical and regression models for evaluating SMS delivery efficiency under heteroscedasticity;
• develop methods for detecting artificially generated traffic (AIT) in A2P-SMS;
• perform a scenario assessment of the effectiveness of an integrated SMS delivery management framework.
The first chapter analyzes the theoretical foundations, architectural features, and evolution of SMS service in 4G/5G networks, systematizes message usage scenarios, and formulates the scientific problem, goal, objectives, and hypothesis of the study.
The second chapter presents the methodological basis for evaluating the effectiveness of SMS delivery, justifies the PDG indicator, and develops an integrated IGDP model that combines technical, user, and economic performance parameters.
The third chapter presents mathematical and regression models of the SMS delivery process, analyzes the impact of QoS and QoE parameters on PDG, and investigates heteroscedasticity in message delivery data.
The fourth chapter is devoted to intelligent methods for improving the efficiency of SMS delivery, in particular message categorization, AIT detection, the development of an integrated delivery management framework, and a scenario-based assessment of its efficiency in mixed A2P traffic conditions.
The dissertation presents the following new scientific results:
• the Price Delivery Gap indicator is proposed as a universal metric of the technical and economic efficiency of SMS delivery;
• an integrated IGDP model is developed, combining QoS, QoE, and PDG into a single evaluation system;
• methods of mathematical and regression modeling of SMS delivery efficiency in conditions of heteroscedasticity have been improved;
• a method for detecting artificially generated traffic in A2P-SMS has been proposed;
• an integrated framework for intelligent management of SMS delivery in 4G/5G networks has been developed.
Practical significance of the results obtained. The results of the study can be used by mobile operators and CPaaS platforms to optimize SMS traffic routing, improve the efficiency of network resource utilization, reduce the impact of AIT, form SLA policies, and increase the economic feasibility of short message services in next-generation networks.
