IMPROVING THE QUALITY OF HETEROGENEOUS TELECOMMUNICATION NETWORKS WITH THE HELP OF FORECAST-BASED RESOURCE ALLOCATION

DOI: 10.31673/2412-4338.2024.018894

Abstract

The article examines a heterogeneous telecommunication network and its structure. The impact of load forecasts on optimizing the distribution of resources in the network is analyzed, and the relationship between the accuracy of forecasting and the efficiency of the use of network resources is established. Load forecasting enables network operators and administrators to adjust resource allocation to changes in load and traffic. This approach allows you to avoid overloads, ensure high quality of service and reduce energy costs. In addition, it helps avoid over-allocation of resources, which can lead to wasted resources and reduced network performance.
Concepts of connection traffic load prediction and network interaction are presented to address the challenges faced by decentralized bandwidth allocation in a dynamic environment. The article presents the results of experimental studies that confirm the benefits of using a resource allocation system based on load forecasts, such as improving the quality of service and efficient use of network resources.
The benefits of using traffic load forecasting include improved bandwidth allocation per call and efficient management of network resources based on predicted load. Prediction allows you to optimize the allocation of resources, reducing channel access costs and increasing the efficiency of using network resources.
The article provides recommendations on the application of the proposed method of load forecasting.

Key words: telecommunication network, heterogeneous network, traffic forecasting, management, load, bandwidth.

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