MATLAB® and Simulink® can make your wireless communications designs faster and more efficient with modeling, simulation, testing, and implementation tools. Reduce development time, identify, and eliminate design problems early, streamline testing and verification, and automate many wireless design tasks. Ensure reliability and performance throughout your design workflow, from developing advanced algorithms to analyzing signals and engineering your end-to-end system configuration. You can deploy your generated code to radio and hardware and then test your deployed prototypes and devices.

wireless standards

Wireless Standards

Design, analyze, and test standards-based 5G, Wi-Fi, LTE, satellite communications, and Bluetooth systems.

medical imaging

AI for Wireless

Apply deep learning, machine learning, and reinforcement learning techniques to wireless communications applications.

Digital, RF, and Antenna Design

Digital, RF, and Antenna Design

Jointly optimize digital, RF, and antenna components of an end-to-end wireless communications system.

hardware design and testing

Hardware Design and Testing

Implement and verify your designs on hardware. Test your algorithms and designs over-the-air with RF instruments and SDRs.


Bluetooth Modeling in MATLAB

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Move Your Wireless Ideas
to Production

Algorithms and IP Creation

Wireless researchers and engineers worldwide rely on MATLAB to explore and prove new technology concepts and create intellectual property. The apps and customizable code in MATLAB toolboxes help you quickly explore design alternatives, test with live data, and analyze simulation results and measurements.

You can use the MATLAB algorithms you create to build standard-compliant systems, model RF and antenna components, and automate hardware prototyping and implementation. 

TechSource Systems Pte Ltd
TechSource Systems Pte Ltd

Standards-Based System Design

MATLAB toolboxes provide comprehensive, well-documented support for 3GPP and 802.11 physical layer (PHY) standards, so you don’t need to maintain proprietary simulators or rely on black-box test environments.

Use toolboxes and apps to generate and analyze signals, measure link-level performance, and create golden reference models to verify standard conformance. Customize toolbox functions to accelerate your own implementations and explore the latest 5G, LTE, and WLAN technologies.

Baseband, RF, and Antenna Design

Baseband, RF, and antenna engineers can use multidomain simulations to help them design next-generation wireless technologies such as massive MIMO arrays, hybrid beamforming architectures, and adaptive RF transceivers and radio front-ends.

Mix high-level and high-fidelity models to realistically simulate component interactions, quickly evaluate design tradeoffs, and analyze the performance impact of design choices. Include S-parameters and other RF measurements in your system simulation. By testing with multidomain simulation, you’ll find errors sooner, spend less time debugging in the hardware lab, and respond faster to new requirements.

TechSource Systems Pte Ltd
TechSource Systems Pte Ltd

Hardware Prototyping
and Implementation

System architects and hardware engineers can use and share the same Simulink models for each of their tasks. These hardware-accurate models can automatically generate readable, synthesizable HDL code for FPGA, SoC, and ASIC implementation. System architects can build prototypes with popular FPGA and software-defined radio kits and hardware engineers can reuse those models for production deployment.

HDL-optimized LTE IP blocks and verified reference applications help you improve LTE system performance and shorten development time.

Testing and Verification

MATLAB and Simulink help you automate testing to verify that your design functions before implementing it in hardware.

Use the validated models as a test bench for verifying hardware prototypes and production implementations. You can test designs using a range of SDR hardware and RF instruments; automatically generate SystemVerilog models for ASIC verification; and efficiently analyze large datasets from simulations, lab tests, and field trials.

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