Explore 6G technology with MATLAB

Overview

6G research is firmly underway. Many researchers and system engineers are exploring and defining the requirements and enabling technologies of next generations wireless systems known as 6G. These technologies include: 6G PHY designs including waveforms, AI and machine learning (ML), propagation loss, channel models and RF component modelling for higher frequencies including mm-Wave and sub-THz, Non-terrestrial networks (NTN), RF sensing and intelligent reflecting surfaces (IRS) as well as managing large and long running simulations.

In this webinar, you will learn about MATLAB capabilities for exploring design space of next generation 6G wireless communications systems. We present the 6G Exploration Library - a free add-on to 5G Toolbox – that comes with MATLAB functions and examples enabling you to explore, model, simulate, and test candidate 6G waveforms and technologies.

Highlights

• Generating waveforms with parameters extended beyond 5G NR specifications. 
• Simulating 6G-candidate end-to-end links with channel models, RF impairments and metrics like EVM  
• Evaluating link performance in 7-20 GHz, mm-Wave, and sub-Terahertz carrier frequencies ranges.  
• Modelling reconfigurable intelligent surface (RIS) designs 
• Design, develop, test and deploy AI algorithms for wireless application
• Accelerating your simulation by using multicore computers and clusters.  

About the Presenters

Jayamohan Govindaraj, MathWorks

Jayamohan Govindaraj brings his extensive expertise to MathWorks India as a Principal Application Engineer, with a specialized focus on Wireless Communication products. Before joining MathWorks in 2023, Jayamohan amassed two decades of experience in the wireless sector, contributing to the evolution of multiple wireless standards including GSM, GPRS, EDGE, WCDMA, LTE, and Wi-Fi. His professional journey encompasses significant roles in the development and execution of baseband algorithms for 5G, and he is currently pioneering the Application Engineering of various wireless standards including 6G technology. Jayamohan holds a Bachelor's degree from the University of Madras and a Master's degree in Communication Systems from the Indian Institute of Technology, Kanpur, India.

Jahnavi Dhulipala, MathWorks

Jahnavi is an Application Engineer at MathWorks, India specializing on Mixed Signal, Serdes and Signal Integrity designs. She works closely with customers across domains to help them adopt MATLAB® and Simulink® in their workflows. Jahnavi has around 8 years of research and industrial experience. Prior to joining MathWorks, she has worked for ISRO as a Research Fellow designing and implementing RF transceivers. She holds doctoral degree in Information and Communication engineering and holds a master’s degree in applied electronics.

Jayanth Balaji Avanashilingam, MathWorks

Jayanth Balaji Avanashilingam works as a senior application engineer at MathWorks in the area of artificial intelligence. He primarily focuses on data analytics for the application of time-series data. Jayanth has 8 years of research and industrial experience developing AI/machine learning/deep learning solutions for application areas like retail optimization, computer vision, and natural language processing. Prior to joining MathWorks, Jayanth was working as a senior AI engineer at Impact Analytics, Bangalore.