Model and simulate 6G-enabling technologies with MATLAB
6G is the next generation of mobile wireless communication systems, envisioned to provide more inclusive and sustainable wireless connectivity. 6G research and development aims to substantially improve the performance of the current 5G communications systems, with 6G networks operating faster, handling more bandwidth, and operating at lower latencies.
As a result, 6G systems may enable new applications such as virtual and augmented reality (VR/AR), artificial intelligence (AI), connected cars, industries and automation, ubiquitous coverage through non-terrestrial networks (NTN), joint communications and sensing, and low-power wireless communications.
When you are ready to get started with 6G, you can accelerate your 6G system design with MATLAB® and its wireless communications tools.
- Leverage open, editable, and customizable algorithms in MATLAB as a starting point for your 6G design.
- Continuously test your designs with the easy custom waveform generation, hardware connectivity, and AI modeling capabilities in MATLAB.
- Simultaneously optimize the digital, RF, and antenna array components of your 6G systems, enabling you to explore multidimensional design space more effectively.
6G Applications
Although 6G systems requirements are not yet finalized, many experts believe that 6G networks will build upon the success of 5G and 5G-Advanced systems, and enable the following new applications:
- Multisensory extended reality and haptics, supporting different devices, higher data rates, and much lower latency
- Volumetric media streaming and telepresence, enabling volumetric content, 3D data sets, and holographic presence
- Connected industries and automation, supporting industrial IoT and massive machine-type communications in areas such as mechanized agriculture and telemedicine
- Autonomous vehicles and swarm systems, enhancing V2X communications, connected cars, drones, and robots
- Extreme coverage and connecting the unconnected, bridging the “digital divide” and connecting people in remote, rural, and underserved areas using non-terrestrial networks (NTN) with satellite communications
- Ultra-low power and zero energy, harvesting energy directly from radio waves and substantially reducing power use in wireless systems
6G Modeling & Simulation in MATLAB
Using MATLAB, 5G Toolbox™, and other MATLAB-based wireless communications tools, you can model and simulate 6G wireless communications systems today and evaluate the impact of their enabling technologies.
- Create and optimize your intellectual property (IP) for 6G using open MATLAB functions and compare your innovations to existing benchmarks.
- Explore 6G waveform generation beyond the parameters allowed in the current 5G standard (with new frequency ranges, bandwidths, numerologies).
- Scale your simulations for massive MIMO, larger bandwidths, and higher sampling rates. Manage large and long-running simulations by distributing them on multiple cores, clusters, or the cloud and by leveraging GPUs.
- Perform faster and more accurate RF component modeling for new mmWave and sub-THz frequencies.
- Simulate propagation loss and channel models in mmWave and sub-THz frequency ranges.
- Model non-terrestrial networks (NTN) by performing end-to-end link-level simulations, scenario modeling, orbit propagation, and visualization.
- Explore RF sensing and detect the presence of events or persons in a scene by analyzing RF waveforms.
- Examine the effect of reconfigurable intelligent surfaces (RIS) on overall system performance.
- Apply artificial intelligence (AI) techniques, including machine learning, deep learning, or reinforcement learning workflows to solve 6G wireless communications problems.
