Leading wireless engineering teams use MATLAB® and Simulink® to develop 5G new radio access technologies, including flexible physical layer architectures, massive MIMO antenna arrays, and highly integrated RF transceivers. They use MATLAB to:
- Create and optimize IP for 5G products
- Simulate the impact of algorithm, RF, and antenna design choices on system performance
- Ensure designs are standard-compliant
- Verify the behavior of designs with hardware prototypes and over-the-air tests
- Share models and code across development teams
How MATLAB and Simulink Accelerate 5G Development Tasks
End-to-end link simulation
Develop and optimize your 5G physical layer design using standard-compliant models. Evaluate the impact of algorithm and array design choices, RF impairments, and sub-6GHz and mmWave propogation channels.
5G-compliant waveform generation and testing
Generate 5G-compliant waveforms and automate testing of simulations and over the air transmissions. Use RF instruments and software-defined radio hardware to transmit 5G waveforms and capture live RF signals. Analyze and visualize simulation, laboratory, and field test results.
RF system engineering for mmWave and massive MIMO
5G operation at mmWave frequencies requires new hybrid radio architectures to overcome higher propagation losses and channel impairments. Use MATLAB and Simulink to jointly model and simulate the digital, RF, and antenna subsystems, including wideband power amplifiers, massive MIMO antenna arrays, and adaptive algorithms. Multidomain simulation enables more thorough design validation before testing in the hardware lab or field trials. Component engineers can share models and collaborate more easily using a single tool.
Model-Based Design for prototyping and verification
Using Model-Based Design with MATLAB and Simulink enables system modeling and development workflows to accelerate 5G hardware and software implementation. You can make design changes at a high level and automatically generate code and testbenches.
Model-Based Design enables you to experiment with different architectures and algorithms, iteratively adjust parameters, predict hardware performance, and automate prototyping on SDRs and other FPGA or SoC hardware.
How Are MathWorks Customers Developing These Technologies?
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