Communications Toolbox
Design and simulate the physical layer of communications systems
Communications Toolbox™ provides algorithms and apps for the analysis, design, end-to-end simulation, and verification of communications systems. Toolbox algorithms including channel coding, modulation, MIMO, and OFDM enable you to compose and simulate a physical layer model of your standard-based or custom-designed wireless communications system.
The toolbox provides a waveform generator app, constellation and eye diagrams, bit-error-rate, and other analysis tools and scopes for validating your designs. These tools enable you to generate and analyze signals, visualize channel characteristics, and obtain performance metrics such as error vector magnitude (EVM). The toolbox includes SISO and MIMO statistical and spatial channel models. Channel profile options include Rayleigh, Rician, and WINNER II models. It also includes RF impairments, including RF nonlinearity and carrier offset and compensation algorithms, including carrier and symbol timing synchronizers. These algorithms enable you to realistically model link-level specifications and compensate for the effects of channel degradations.
Using Communications Toolbox with RF instruments or hardware support packages, you can connect your transmitter and receiver models to radio devices and verify your designs with over-the-air testing.
Waveform Generation
Generate a variety of customizable or standard-based physical layer waveforms. Use the Wireless Waveform Generator app to create test signals. Use waveforms as golden references for your designs.
RF Propagation and Channel Modeling
Perform ray tracing analyses on indoor and outdoor scenarios. Characterize effects of noise and fading. Account for path loss due to free space and atmospheric effects.
End-to-End Simulation
Simulate link-level models of communications systems. Explore what-if scenarios and evaluate system parameter tradeoffs. Obtain expected measures of performance such as BER, PER, BLER, and throughput.
AI for Wireless
Use AI for wireless challenges such as modulation scheme identification, RF fingerprinting, spectrum monitoring, and signal classification. Create synthetic signals with RF impairments to train AI models. Capture over-the-air signals with SDR hardware for training or testing purposes.
RF, Antenna, and MIMO
Model RF front end effects, antenna designs, and digital baseband systems in one environment. Include high-fidelity models of RF components, antennas, and phased array systems. Boost system performance with MIMO and massive MIMO multiple antenna techniques. Characterize MIMO receivers and channels.

Software-Defined Radio
Connect your transmitter and receiver models to radio devices and verify your designs via over-the-air transmission and reception.
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