In this presentation, we show how easy it is to apply artificial intelligence (AI) capabilities to solve wireless communications problems in MATLAB. You learn how to be more efficient by using ready-to-use algorithms and data generated with MATLAB and wireless communications products. We will explore AI-driven workflows, encompassing data generation, during the presentation., AI network training, validation and testing, and deployment on embedded devices, and enterprise systems. Finally, we showcase how to leverage existing deep learning networks outside MATLAB.

Highlights

• Generate training data in the form of synthetic and over-the-air signals using the Wireless Waveform Generator app 

• Design and train your AI models using interactive tools such as the Deep Network Designer app

• Perform large-scale simulations to test and validate your trained networks using the Experiment Manager app

• Deploy your validated models to enterprise or embedded systems

• Explore how easily to interoperate with 3rd party environments such as Python models