Duration: 1 hour
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Summary
The next generation of the cellular ecosystem will involve satellite communication and the system design challenges of working with low-Earth-orbit (LEO) satellites. Leveraging AI in space presents challenges to engineers. which can be addressed with simulation and AI combined to solve challenges of time, model reliability, data quality, and training.
The latest development in the evolution of the mobile wireless communication infrastructure, 6G is expected to provide more inclusive and sustainable connectivity, substantially improving the performance of the current 5G communications systems, operating faster, handling more bandwidth, with lower latencies. The resulting enhanced connectivity could foment new applications in areas such as virtual and augmented reality, AI, connected systems, ubiquitous coverage through non-terrestrial networks, and others.
MATLAB and its wireless communications tools can accelerate 6G system design by leveraging open, editable, and customizable algorithms, enabling you to continuously test your designs with the custom waveform generation, hardware connectivity, and AI modeling capabilities in MATLAB. It enables you to simultaneously optimize the digital, RF, and antenna array components of your 6G systems, enabling you to explore multidimensional design space more effectively.