Overview The capabilities required from wireless systems have become substantially more complex. To ensure successful operation in harshening environments, where new and evolving types of interference increase the system level challenges and make it challenging for applying traditional design methodologies.
AI in wireless applications provides a solution for making smarter and robust systems capable of absorbing larger amounts of data with more parameters for control able to increase performance and accuracy.
In this session we will cover:
Industry trends for AI applications in Wireless Understanding the importance of good data and how you can generate data when access to real data is limited Trade-offs between machine learning and deep learning workflows Demonstration: Using Deep Learning for Spectrum Sensing to Identify 5G and LTE Signals
