RESEARCH ON DYNAMIC RESOURCE ALLOCATION BASED ON LOAD FORECASTING IN 5G RADIO ACCESS NETWORKS

Abstract

The paper examines the problem of improving the efficiency of resource management in 5G radio access networks under dynamically changing traffic conditions. Special attention is given to traffic load forecasting as a key mechanism for proactive resource allocation. The approach is based on modern research in the field of 5G/6G and intelligent RAN systems, highlighting load forecasting as a vital component for enhancing QoS, spectral efficiency, and network stability.