AI PHY Layer Development Testbed
散页
AI-powered physical layer intelligence transforms wireless performance by learning directly from real-world radio conditions. Instead of relying on fixed models and conservative margins, advanced machine learning algorithms optimize channel estimation, beamforming, signal detection, and adaptive modulation in real time. The result is higher spectral efficiency, improved reliability, reduced latency, and better energy efficiency, even in fast-changing, interference-heavy environments. By continuously adapting to network dynamics and hardware imperfections, AI enables smarter, more resilient, and future-ready 5G-Advanced and 6G systems.
Keysight AI PHY Development Testbed accelerates development, training, and validation of AI-based physical layer algorithms under realistic RF conditions. Solution scales from single-antenna research setups to full Massive MIMO deployments.
With this testbed the user can train AI PHY layer models to enhance and optimize base station performance in various challenging scenarios:
- Ensure AI Model PHY/L1 level performance using 3GPP signals
- Comprehensive support for technologies including SRS UL, CSI Compression etc.
- Scale from SISO to Massive MIMO
- Generate realistic datasets for AI validation
- Integrate AI models as part of the test bed
- Seamless hardware in-the-loop integration