MWC Barcelona 2025

Wednesday, March 5, 14:30 to 15:15

Panel Discussion: AI-Driven RAN Automation: Transforming Networks for a Smarter, More Efficient Future,

Location: Marconi Stage, Hall 6

Alex Jinsung Choi, Chair of the AI-RAN Alliance, along with Alliance founding members NVIDIA and Samsung, will participate in this panel discussion that will explore how AI-enabled RAN automation enhances network performance, optimizes resource management, and supports diverse RAN architectures. Choi will share the Alliance’s milestones, insights on AI-native RAN’s future, and opportunities for global collaboration to drive telecom innovation.

All Days

Pioneering the Future of AI RAN

The AI-RAN Alliance is providing real-world demonstrations that exemplify how AI can optimize RAN performance, enhance energy efficiency, and enable new levels of automation and flexibility.  Listed below are the demonstrations, descriptions, and locations.

Demo 1: “Learned Air Interface with Online Learning”

Description: This demo shows how AI-driven air interface design can enhance wireless performance, improve spectral efficiency, and integrate seamlessly with existing 5G networks, making it a critical capability for future AI-RAN deployments.

• Participants: DeepSig and NVIDIA
• Category: AI-for-RAN
• Location: ARM Booth Hall 2 Stand 2I60

Demo 2: “Realization of UL Ch Interpolation in Actual RAN”

Description: The demo showcases uplink channel interpolation in a real-world Radio Access Network (RAN), focusing on estimating and optimizing wireless communication for better performance and efficiency.

• Participants: Fujitsu, NVIDIA, and SoftBank
• Category: AI-for-RAN
• Location: ARM Booth Hall 2 Stand 2I60

Demo 3: “AI-based PUSCH Channel Estimation”

Description: Using an AI-powered uplink (UL) channel estimation (CE), this demo showcases how the uplink throughput can be improved by over 30% in 5G and future 6G networks. We evaluate this novel solution in a real-time commercial testbed with a Samsung developed AI CE algorithm running on a NVIDIA Grace-Hopper GPU server(vDU), Keysight Propsim Channel Emulator and Core Emulator and a Samsung commercial UE. Samsung’s AI algorithm leverages the multi-dimensionality of the received DMRS to enhance channel estimation and hence PUSCH performance, providing a better user experience and a coverage extension for operators.

• Participants: Keysight, NVIDIA and Samsung
• Category: AI-for-RAN
• Location: Keysight Booth: Hall 5 Stand 5F41

Demo 4: “AI/ML Optimized Higher-Order Modulations with a Neuromorphic Receiver”

Description: Samsung, NVIDIA and VIAVI will highlight the transformative potential of AI in RAN. Samsung will showcase AI/ML-based higher-order modulations to deliver improved performance over square QAMs. VIAVI will showcase energy-efficient neuromorphic receivers that replace several signal-processing blocks—channel estimation, equalization, and symbol de-mapping—with a single neural network, optimized for AI-based modulations. NVIDIA will feature its high-performance GPUs for training and validation.

• Participants: NVIDIA, Samsung, and VIAVI
• Category: AI-for-RAN
• Location: VIAVI Booth Hall 5 Stand 5A18

Demo 5: “AI-based 5G Beamforming for Mobility-Aware Interference Mitigation and Power Saving”

Description: This demo is for AI-powered beamforming and energy-efficient RAN control in 5G networks. By leveraging realistic mobility data and hierarchical RL, it showcases how AI can enhance interference management, optimize power use, and improve network efficiency in real-time mobility scenarios.

• Participants: Singapore University of Technology (SUTD), VIAVI, and Yonsei University
• Category: AI-for-RAN
• Location: VIAVI Booth Hall 5 Stand 5A18 | ARM Booth Hall 2 Stand 2I60

Demo 6: “AI-based Spectrum Sensing in the RAN”

Description: This demo highlights the potential of AI-enhanced RAN sensing for dynamic spectrum sharing, showing how AI can enable smarter interference avoidance, improved spectral efficiency, and adaptive radio resource management in real-world 5G deployments.

• Participant: Northeastern University Open6G
• Category: AI-for-RAN
• Location: Northeastern University Booth Hall 6 Stand 6D1

Demo 7: “AI-RAN Orchestration”

Description: This demo showcases AI-driven RAN orchestration, highlighting how AI and RAN can coexist on a shared infrastructure while maintaining high performance, efficiency, and quality of service.

• Participants: Keysight and Northeastern University Open6G
• Category: AI-and-RAN
• Location: Keysight Booth Hall 5 Stand 5F41

Demo 8: AI-Driven Spectrum Sensing for Dynamic & Privacy-preserving AI Model Partitioning over 5G Network

Description: This demo highlights adaptive AI-driven ML model partitioning for privacy-focused image processing over 5G networks, addressing the inefficiencies of fixed model partitioning in dynamic wireless environments.

• Participants: LITEON, Keysight, NeuroRAN and Singapore University of Technology and Design (SUTD)
• Category: AI-on-RAN
• Location Arm Booth Hall 2 Stand 2I60 | Keysight Booth Hall 5 Stand 5F41 | LITE-ON* Booth Hall 6 Stand 6F38

Demo 9: “Integrated Sensing and Communications (ISAC)”

Description: This demo highlights the use of integrated sensing and communications (ISAC) over existing 5G networks. By repurposing a commercial 5G waveform as a radar signal, it can detect and track unconnected objects—such as pedestrians—without relying on cameras or RF tags. Potential commercial applications include occupancy sensing, drone detection, and perimeter security.

• Participants: Northeastern University and Tiami Networks
• Category: AI-on-RAN
• Location: ARM Booth Hall 2 Stand 2I60

Demo 10: “AI on RAN Object Detection”

• Description: This demo showcases a powerful, cost-effective solution for deploying AI workloads on Private 5G networks, making them more accessible for industries requiring real-time processing, scalability, and low latency.
• Participants: Arm, Effnet AB*, Phluido*, and Tannera*
• Category: AI-on-RAN
• Location: ARM Booth Hall 2 Stand 2I60