5G Technology Development with MATLAB
Wireless engineers are pursuing 5G and other advanced technologies to achieve gigabit data rates, ubiquitous coverage, and massive connectivity for many applications such as IoT and V2X. The need to improve performance and coexist with multiple communications standards and devices while reducing the overall area and power imposes challenging requirements on baseband DSP, RF front ends, and antenna design. Gaining an insight into such complex systems and performing architectural analysis and tradeoffs require a design model that includes DSP, RF, antenna and channel, as well as impairments.
In this tutorial, you will learn how MATLAB & Simulink can help you:
- Rapidly create 5G, LTE & WLAN standards-compliant link-level simulations
- Leverage new channel models for massive MIMO and mm-wave communications
- Model large antenna arrays and explore system architectures such as hybrid beamforming
- Improve fidelity by jointly simulating digital baseband, RF front end & antenna effects in a single simulation
- Accelerate simulations using programming best practices, parallel computing, and C code generation
- Shorten implementation and verification of C & RTL designs using code generation and verification tools
Tutorial Fee – Rs 500
Event: ADCOM 2019 & Co-located events
Venue: IIIT Bangalore
Date: Thursday, 5th September 2019
Time: 9:00 am to 1:00 pm
Tutorial conducted by: Vidya Viswanathan and Amod Jaiganesh, Mathworks
Vidya Viswanathan is an Application Engineer at MathWorks India specializing in design and implementation of digital signal processing applications. She works closely with customers across domains to help them adopt MATLAB® and Simulink®. Her areas of interest include FPGA and ASIC design, wireless communication, and image processing. Vidya holds a bachelor’s degree in electronics and communication engineering from M. S. Ramaiah Institute of Technology and a master’s degree in communication and signal processing from Indian Institute of Technology Hyderabad.
Dr. Amod Anandkumar is an Application Engineering Manager at MathWorks India, focusing on automated driving, deep learning, and wireless communications. Prior to this, he was a lead engineer with the advanced technology group at Samsung Research India, Noida where he developed LTE physical layer algorithms and novel healthcare applications for smartphones. He was also a post-doctoral research fellow at the Biomedical Signal Analysis Lab, GE Global Research Bangalore, working on ultrasound imaging and biomedical signal processing, resulting in one US patent filing. Amod holds a B.Tech degree from National Institute of Technology Karnataka and a Ph.D. degree from Loughborough University, UK. His research interests include machine learning, computer vision, wireless networks, game theory, and convex optimization. He has published and reviewed papers in numerous international conferences and journals.
