RAN Intelligent Controller (RIC)

RAN Intelligence

RAN Intelligent Controller (RIC): Real-Time AI Optimisation for the RAN.

Accelleran's AI-powered RAN Intelligent Controller (RIC) enables real-time network automation, driving down infrastructure and operational costs while boosting agility and performance.

Launched in 2019, our dRAX-RIC unlocks Open RAN flexibility with support for advanced xApps, empowering operators to optimise spectrum usage, deliver custom services, and deploy features like network slicing and indoor positioning, faster and smarter than ever before.

dRAX-RIC provides deep control over RAN behaviour, transforming data into immediate action through scalable, AI-driven intelligence.

Transforming Networks with AI-enabled applications.

Accelleran's AI-powered xApps, developed in-house and by trusted third parties, are already live in production networks, solving real-world challenges in energy savings, traffic optimisation, and interference reduction. Each xApp is purpose-built and delivers measurable performance gains in even the most demanding deployment scenarios.

Energy Efficiency

Slash network energy costs without sacrificing performance. Our energy-efficiency xApp dynamically powers down resources during low demand, cutting energy usage while ensuring seamless user experience.

Traffic Steering

Maximise throughput and avoid network congestion. The traffic steering xApp intelligently routes user sessions across cells, balancing load in real time for smoother performance and improved QoS.

PCI Allocation

Eliminate interference at the edge. Our PCI allocation xApp automates Physical Cell Identity planning, reducing handover issues and boosting radio efficiency across dense deployments.

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Driving Innovation with Real-World AI xApp Deployments.

Accelleran leads the charge in AI-driven RAN control, demonstrated across global industry stages and real-world networks.

Frequently asked questions.

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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.
Analytics — collecting and analysing real-time data from the RAN to provide insights and enable proactive network management.

Apps deployed on Accelleran's RIC improve network performance by using AI and machine-learning algorithms to analyse real-time data and make decisions that optimise resource allocation, reduce latency, enhance throughput, and improve overall user experience.

AI plays a crucial role in RIC xApps/rApps by enabling advanced data analytics and decision-making processes. AI algorithms analyse vast amounts of real-time data from the RAN to identify patterns, predict performance issues, and automatically adjust network parameters to optimise operations.

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.

xApps — near real-time applications that run on the Near-Real-Time RIC (Near-RT RIC). They are designed to operate with sub-one-second latency for tasks like dynamic resource allocation and interference management.

rApps — non-real-time applications that run on the Non-Real-Time RIC (Non-RT RIC). They handle tasks such as policy management, training of AI/ML models, and long-term performance optimisation.

Near-RT RIC operates with latency under one second, providing real-time control and optimisation of RAN elements. It is designed for tasks that require quick decision-making, such as load balancing and interference management.

Non-RT RIC operates with latency over one second, handling tasks that do not require immediate action, such as policy management, training of machine-learning models, and long-term performance analytics.

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Designed for industrial, enterprise, and campus deployments, it scales effortlessly from pilot to production, enabling secure, ultra-reliable, and low-latency wireless across your operations.

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RAN Intelligent Controller (RIC).