AI in Wireless


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 WirelessUnderstanding the importance of good data and how you can generate data when access to real data is limitedTrade-offs between machine learning and deep learning workflowsDemonstration: Using Deep Learning for Spectrum Sensing to Identify 5G and LTE Signals.

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About the Presenter

Darshan Makan has aBSc(Eng) inMechnicalengineering andworks at Opti-Num solutionsas a Solution Engineer, with a keen focus on Model Based Design (MBD), physical modelling and Artificial Intelligence. Darshan has an interest in sustainable and renewable technologies and is looking to work with clients to develop innovate and sustainable solutions for the future.

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