Modeling Reflective Intelligent Surfaces (RIS) Systems with MATLAB

Start Time	End Time
10 Oct 2024, 9:00 AM EDT	10 Oct 2024, 10:00 AM EDT
10 Oct 2024, 2:00 PM EDT	10 Oct 2024, 3:00 PM EDT

Overview

In this webinar, you will learn about new capabilities in MATLAB for reflective intelligent surfaces (RIS). It is considered a promising enabling technology for next generation wireless systems (6G). The RIS consists of a large array of cell elements that manipulate the phase, amplitude, polarization, or frequency of an incident signal to improve the energy and spectral efficiency of wireless links. Applying RIS to mobile communications can improve the capacity and coverage by enhancing radio environments and controlling the propagation of radio waves. Challenges associated with the roll-out of RIS include channel modeling, hardware impairment, deployment strategies, and phase optimization. Please join our webinar to learn about RIS technology and its design and modeling tools in MATLAB.

Highlights

Through examples and case studies you will learn about:

Analyzing the response of RIS using full-wave electromagnetic simulation
Modeling RIS with 3GPP CDL Channels
Developing iterative algorithm to control the phase of each RIS element.
Simulating a cellular propagation environment in the presence of blockages with and without RIS

Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.

About the Presenters

Dr. Houman Zarrinkoub is a senior product manager at MathWorks responsible for wireless communications products. During his 20-year tenure at MathWorks, he has also served as a development manager and has been responsible for multiple signal processing and communications software tools. Prior to MathWorks, he was a research scientist working on mobile and voice coding technologies in the Wireless Group at Nortel Networks. He has been awarded multiple patents on topics related to computer simulations of signal processing applications. Houman is the author of the book Understanding LTE with MATLAB: From Mathematical Modeling to Simulation and Prototyping. He holds a B.Sc. degree in electrical engineering from McGill University and M.Sc. and Ph.D. degrees in telecommunications from the University of Quebec, in Canada.

Dr. Rameez Ahmed is an application engineer at MathWorks responsible for wireless communication products. He has been with MathWorks for 8 years, spending the first 3 years in development for the communication toolbox. Currently he focuses on wireless standards (5G, LTE, WLAN, Bluetooth, Satcom) products and their applications. He holds a B.Tech degree in electrical engineering from VIT University, and an M.S and PhD in electrical engineering from Northeastern University. Before MathWorks, he did doctoral research in underwater acoustics communications at Northeastern University.

Product Focus

Modeling Reflective Intelligent Surfaces (RIS) Systems with MATLAB

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