A RAN Intelligent Controller (RIC) platform is a software-defined component of the Open Radio Access Network (O-RAN) architecture. It provides centralised control and management of the RAN elements, optimising network performance and resource utilisation through the deployment of xApps (near real-time applications) and rApps (non-real-time applications).

xApps/rApps deployed on the RIC include:

• Optimisation: Enhancing network performance by dynamically managing resources.
• Automation: Automating network operations and reducing manual interventions.
• Programmability: Allowing third-party developers to create applications (xApps/rApps) that can run on the RIC to introduce new functionalities and services.
• Analytics: Collecting and analysing real-time data from the RAN to provide insights and enable proactive network management​.

Apps deployed on Accelleran’s RIC improves network performance by using AI and machine learning algorithms to analyse real-time data and make decisions that optimize resource allocation, reduce latency, enhance throughput, and improve overall user experience. It allows for dynamic adjustments based on current network conditions​.

AI plays a crucial role in RIC xApps/rApps by enabling advanced data analytics and decision-making processes. AI algorithms analyze vast amounts of real-time data from the RAN, allowing for predictive maintenance, anomaly detection, and intelligent resource management. This leads to more efficient and resilient network operations​.

Some example x/rApps for RIC include:

• Interference Management: Mitigating interference between cells to improve signal quality.
• Load Balancing: Distributing network traffic evenly across available resources to prevent congestion.
• Energy Savings: Dynamically adjusting power usage based on network demand to reduce energy consumption.
• Quality of Service (QoS) Management: Ensuring that different types of traffic receive the appropriate level of service based on their requirements​.