AI RAN Optimization Agent

AI RAN Optimization & Autonomous Network Management Challenge

Modern 4G/5G and emerging 6G RAN environments generate massive volumes of KPIs and operate across dense, multi-vendor deployments. Manual analysis and rule-based tools cannot keep pace with the scale, variability, and real-time optimization needs of modern networks. This results in slow incident resolution, inconsistent performance, rising OPEX, and limited ability to proactively optimize coverage, capacity, and energy efficiency.

Our Solution: AI-Driven Multi-Agent RAN Optimization Platform

AI RAN Optimization is an AWS-native, multi-agent AI solution that autonomously monitors, analyzes, and optimizes 4G, 5G, and future 6G Radio Access Networks. Powered by specialized AI agents and a generative AI orchestrator using Amazon Bedrock, the platform continuously detects anomalies, explains root causes, and executes closed-loop optimization actions. Built on AWS managed services, it integrates with OSS, EMS, and O-RAN RIC environments to enable self-optimizing and self-healing networks aligned with TM Forum Level-5 autonomy.

Key Benefits & Business Outcomes

1. Reduced OPEX and Faster Resolution through automated KPI monitoring, root-cause analysis, and closed-loop corrective actions

2. Improved Network Performance and QoS via continuous optimization of throughput, coverage, latency, and reliability

3. Proactive Network Operations using AI-driven anomaly detection and predictive insights to prevent outages

4. Energy and Capacity Optimization by dynamically adapting network configurations to real-time demand

5. Secure, Scalable AWS Deployment with cloud-native elasticity, enterprise-grade security, and standards-aligned integration.

Ideal Users / Organizations Mobile network operators, neutral-host providers, telecom infrastructure vendors, and enterprises operating private 4G/5G networks—such as smart factories, campuses, ports, airports, utilities, and public safety networks—seeking to modernize RAN operations, reduce operational complexity, improve service quality, and accelerate the journey to autonomous networks using AWS-native AI and generative intelligence.