Designing Next‑Gen 5G/6G & AI‑Driven Devices

Why It Matters

Digital‑twin validation shortens 6G development cycles and de‑risks deployment of AI‑controlled radios, giving operators a strategic advantage as new spectrum becomes available.

Key Takeaways

• Digital twins enable end‑to‑end validation of 6G radio systems.
• AI‑driven adaptive control adjusts antennas to real‑world environments.
• Partnership merges Nvidia, Synopsys, and Rohde Schwarz expertise for 6G.
• Physics‑accurate models simulate warehouse scenarios for subscriber mobility.
• Rapid algorithm loops reduce design time for new spectrum bands.

Summary

The video outlines a collaborative effort between Nvidia, Synopsys and Rohde Schwarz to create a lifecycle digital‑twin platform for next‑generation 5G/6G and AI‑driven devices. The partnership targets the emerging challenge of native‑AI radio access networks, where antennas and radios must adapt in real time to changing environments, requiring rigorous training and validation before field deployment.

Key insights include the need for physics‑accurate digital twins that replicate entire radio access networks in a lab setting, enabling developers to test adaptive‑control algorithms without costly on‑site trials. By simulating environments—such as a large warehouse with moving subscribers—engineers can capture signal models, feed them into Rohde Schwarz test equipment, and verify programming integrity or reverse‑engineer failures.

A highlighted example shows a digital twin of a warehouse where subscriber mobility is modeled, illustrating how operators can validate system behavior and troubleshoot issues using simulated data rather than raw network measurements. The speakers stress that this end‑to‑end workflow creates a tight development loop, accelerating algorithm refinement and hardware design.

The implication is a faster, more reliable path to deploying 6G technologies, especially as new spectrum bands—still largely unmeasured—come online. By reducing reliance on siloed design methods, the digital‑twin approach promises lower R&D costs, quicker time‑to‑market, and a competitive edge for telecom firms embracing AI‑centric radio architectures.

Original Description

As 5G evolves and 6G innovation accelerates, device and silicon design are becoming more complex—and engineering teams need smarter, faster ways to validate performance. In this MWC26 interview, you’ll learn how Synopsys is helping chipmakers, device OEMs, and network solution providers design and verify the next

This conversation explores how Synopsys’ broad portfolio of silicon design, verification, and system‑level modeling tools enables faster development cycles for advanced wireless systems. You’ll hear how AI‑enabled simulation improves RF and antenna design, how multiphysics analysis supports thermal and power efficiency, and how digital twins help predict real‑world performance across dense and increasingly complex network environments.

The interview also highlights how engineering teams are reducing time‑to‑market by automating verification steps, improving cross‑domain collaboration, and validating chip‑to‑system behavior earlier in the design process—key capabilities as devices become more software‑driven and connectivity‑intensive.

If you’re building next‑gen wireless solutions, accelerating silicon development, or preparing for the 6G era, this session provides a clear perspective on how Synopsys is shaping the engineering foundation behind modern connectivity.

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