MathWorks, Altera team on AI for 5G and 6G
MathWorks is working with Altera to allow AI-based autoencoders on FPGAs for 5G and 6G wireless systems.
The autoencoders are used to compress Channel State Information (CSI) data and significantly reduce fronthaul traffic and bandwidth requirements. Engineers working on 5G and 6G wireless communications systems can now ensure user data integrity and maintain wireless communications systems’ reliability and performance standards while reducing costs.
This taps in to the tensor units that are included in the fabric of the Altera Agilex families of FPGAs specifically to accelerate AI operations.
“The collaboration between MathWorks and Altera enables organizations to harness the power of AI for a wide range of 5G and 6G wireless communications applications, from 5G RAN to advanced driver-assistance systems (ADAS),” said Mike Fitton, vice president and GM, Vertical Markets at Altera. “By using our FPGA AI suite and MathWorks software, developers can streamline their workflow from algorithm design to hardware implementation, ensuring their AI-based wireless systems meet the rigorous demands of modern applications.”
The MathWorks Deep Learning HDL Toolbox uses the HDL Coder tool to help developers customise, build, and deploy an efficient, high-performance Deep Learning Processor IP Cores. Adding autoencoder support significantly enhances performance and flexibility in wireless applications by supporting standard networks and layers.
Combining the Deep Learning Toolbox and the OpenVINO toolkit creates a streamlined path for developers to optimize AI inference via the Altera Quartus Prime FPGA compiler.
“AI-enabled compression is a powerful technology for the telecommunications industry,” said MathWorks Principal Product Manager Houman Zarrinkoub. “MathWorks software offers a robust foundation for AI and wireless development. By integrating our tools with Altera’s FPGA technologies, wireless engineers can efficiently create high-performance AI applications and advanced 5G and 6G wireless systems.”
FPGA AI Suite offers push-button custom AI inference accelerator IP generation on Altera FPGAs using the OpenVINO toolkit, using pre-trained AI models from popular industry frameworks. It further helps FPGA developers integrate AI inference accelerator IP seamlessly into FPGA design using the Quartus Prime Software FPGA flows.
www.mathworks.com; www.altera.com
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