Dr. Sunil Kumar

AI-Driven Open RAN Architectures and aspects: From Theory to Deployment

Abstract:

The evolution toward 6G networks demands highly scalable, intelligent, and interoperable Radio Access Network (RAN) architectures. Open RAN (O-RAN), with its disaggregated and software-driven components, offers the flexibility to embed AI-driven intelligence across the RAN stack. This talk explores AI-driven Open RAN with a focus on the design, components, and deployment of xApps within the Near-Real-Time RAN Intelligent Controller (Near-RT RIC). Drawing on practical insights from lab-tested prototypes, we demonstrate how Kubernetes-based orchestration enables dynamic scaling of xApps based on real-time network load and compute demands. The discussion includes resource optimization techniques and deployment strategies that bridge the gap between AI model development and real-world xApp integration.

Profile:

Dr. Sunil Kumar is a researcher and academician specializing in AI-enabled Open RAN systems, 6G architectures, and intelligent network automation. With over 16 years of experience in academia and industry, he has led multiple government-funded projects focusing on scalable xApp design, Near-RT RIC orchestration, and AI-driven telecom innovations. He is currently associated with the Computer Networking and Cyber Security, School of Computing and Digital media at London Metropolitan University, UK, and previously served as a Research Fellow at the University of Surrey, UK. His work bridges theoretical research and practical deployment, aiming to shape the future of intelligent, secure, and scalable mobile networks.