Multiservice Telecommunication Systems Parametrical Synthesis by using of Multilayer Graph Mathematical Model

TL;DR

This paper presents a method for the parametric synthesis of multi-service telecommunication systems using a multilayer graph model and self-similar flow processes, solved via nonlinear programming and gradient descent.

Contribution

It introduces a novel approach combining multilayer graph models and self-similar processes for system synthesis, addressing complex modern telecommunication features.

Findings

Effective modeling of multilayer network structures.

Successful application of gradient descent for synthesis optimization.

Enhanced accuracy in representing self-similar traffic flows.

Abstract

This study is devoted to the problem of parametric synthesis of multi-service telecommunication sys-tems. The main characteristics of telecommunication systems, which are brought to account in an article, are multilayer structure formed by the overlayed networks and presence flows with self-similarity effect. For accounting these features of modern telecommunications systems is proposed to use a multi-layered graph for describing the system structure, and self-similar processes model for modeling flows in a network. Solution of parametric synthesis problem is reduced to a nonlinear programming problem which is solved by using gradient descent method.