Network topology optimization method, device and system

Abstract

The invention discloses a network topology optimization method. The method comprises the following steps: acquiring a first network topology and a traffic model of a target network; according to the first network topology and a flow model, determining a first topology evaluation value corresponding to the first network topology through target topology evaluation predetermined based on a graph neural network and / or artificial topology evaluation; and if the first topology evaluation value does not meet the first preset condition, determining a second network topology according to the first network topology, wherein a second topology evaluation value corresponding to the second network topology meets the first preset condition, and the second network topology is used for adjusting the network topology of the target network, so that the network topology of the target network is adjusted to the second network topology. According to the technical scheme, the topology optimization problem of the network is converted into a mathematical optimization problem taking topology evaluation as a target function, so that the topology optimization result is easy to quantify and evaluate, the calculation complexity in the topology optimization process is remarkably reduced, and the network topology optimization problem is systematically solved.

Description

technical field [0001] The present application relates to the technical field of communications, and in particular to a network topology optimization method, device and system. Background technique [0002] The contradiction between the ever-increasing demand for digital communication services and the backward communication network performance will restrict the development process of the era of the Internet of Everything. For example, in application scenarios such as virtual reality technology (virtual reality, VR) and the Internet of Things, communication delays and Problems such as traffic congestion will become more prominent. In order to improve the transmission capacity of the communication network, in addition to improving the performance of the equipment, it is also necessary to carefully design and adjust the topology of the communication network. In essence, the network topology and routing algorithm together determine the flow direction of business flows in the ne...

AI Technical Summary

Problems solved by technology

Current network topology optimization is mostly based on empirical rules and simulation technology, with high computational complexity and lack of systematic optimization solutions

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