Student Programs

Spectrum Challenge

2023 Spectrum Challenge

  • Purpose:
    Selection of excellent research teams to participate as a joint research institute in the development of core technologies to improve the efficiency of 5GHz unlicensed band use and solve the problem of frequency coexistence in the 6GHz band, which is scheduled for new service.
  • Challenge type:
    『Composed of 2 types of problems such as radio wave identification/use rate improvement』
    • Type 1: Identification of radio wave characteristics in use in a given radio environment (5, 6 GHz band)
    • Type 2: Development of resource allocation and spectrum approach reinforcement learning algorithms that are robust to dynamic environment changes

Complimentary Software

MathWorks provides complimentary software for this competition. If your team is participating in this competition and needs software, fill out the software request form.

The period to request software has closed.

Student Tutorials and Videos

Learn how to use MATLAB and Simulink to design algorithms, create simulations, deploy code, and speed up software development for your projects.

Competition Resources

Video Tutorials for Your Team

Interactive Online Tutorials

Learn by doing! Our two-hour online courses provide a hands-on learning environment where you will interact with a web-based version of MATLAB and receive instant and contextual feedback.

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Physical Modeling Video Tutorials

Get started modeling, simulating, and analyzing automotive systems with these free training materials.

Mobile Robotics Training Videos

Learn to design and test autonomous robot algorithms using MATLAB and Simulink with these free training materials.

Computer Vision Video Tutorials

Learn to design and deploy computer vision algorithms using MATLAB and Simulink with these free training materials.

Learn to Code with MATLAB

Learn to Code is an online, interactive one-hour tutorial that teaches the basics of programming using MATLAB for ages 12+.

Code Generation Video Tutorials

Learn how to convert MATLAB functions and Simulink models to C/C++ code.