Application of Neural Network Algorithms for Efficient Resource Management in Wireless Networks

Abstract

The rapid growth in the number of users and services in wireless networks places substantial demands on existing infrastructure and complicates the task of ensuring stable quality of service. Conventional resource management methods often prove insufficient under dynamic network conditions. In this context, the application of neural network algorithms emerges as a promising approach, as such methods are capable of analyzing complex data patterns, adapting to environmental changes, and predicting network behavior in real time.