Solution for Adaptive Monitoring of Open RAN Network Metrics
5G; Open RAN; xApp; KPIs monitoring; Resource saving.
The increasing complexity of cellular networks, driven by technologies such as massive MIMO, millimeter waves, and sub-terahertz communication, requires operators to continuously update their infrastructures, raising both operational and capital costs. However, the traditional RAN architecture, characterized by monolithic equipment and reliance on single vendors, limits network flexibility, making integrating new resources and technological innovations difficult. Thus, there is a growing demand for more efficient and intelligent control of radio resources and greater flexibility in the design and commercialization of network infrastructure devices—these are the two main objectives of Open RAN networks as defined by the O-RAN Alliance. In the realm of radio resource management, the concept of the RIC (RAN Intelligent Controller) stands out as a central element. This component enables radio resources’ dynamic control and orchestration in real time, aiming to optimize performance and service quality. To achieve this optimization, the RIC relies on specialized applications, known as xApps, which perform specific functions related to monitoring Key Performance Indicators (KPIs) and adjusting network parameters. However, continuous metric monitoring through xApps consumes significant resources and can negatively impact system efficiency. In light of this, this master’s thesis proposes the development of an xApp for adaptive metric monitoring, adjusting the KPI collection frequency based on real-time analysis. The goal is to minimize excessive resource consumption without compromising monitoring quality, contributing to more efficient and cost-effective management of Open RAN networks.