O-RAN Modeling and Simulation with MATLAB
In this webinar, we showcase new functionality in MATLAB to model and simulate the open radio access network (O-RAN) technology. First, we provide an overview of the O-RAN standard and its specifications. This includes a discussion about the role of Radio Unit (RU) and Distributed Unit (DU) system components and how they communicate with each other using the Enhanced Common Public Radio Interface (eCPRI) protocol. You learn how to use 5G Toolbox to generate and decode those packets. You will also learn how to examine the impact of O-RAN compression algorithms on the overall performance using metrics such as EVM.
Through example you learn how to:
- Generate O-RAN 7.2x split
- Apply O-RAN compression techniques such as block floating-point, block scaling and mu-law
- Encapsulate the compressed data into eCPRI packets using pcapWriter function
- Perform decoding operations on the packets using pcapReader function to obtain the compressed data
- Decompress the data and recover the best estimate of the O-RAN 7.2x split
- Optionally, examine the impact of this process on the overall EVM performance
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.
Uvaraj is a Senior Application Engineer in MathWorks, focusing on the 5G/ LTE/ WLAN/ Wireless and Satellite communications. Prior to MathWorks he has worked with Cisco Systems where he worked on Self-Optimizing Networks (SON) for the 5G/ LTE market and developed expertise on end-to-end LTE networks working closely with mobile operators across globe. He has industry expertise on LTE ENB protocol stack development, LTE PHY development. He has also worked at Centre for Communication Systems Research, UK on cognitive radios, relay systems, LTE-A, CoMP systems. Uvaraj holds a master's degree in Mobile and Satellite Communications from University of Surrey, UK and BE in Electronics and Communications from Anna University, India.
Recorded: 20 Oct 2022
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