Every new generation of wireless technology increases the pressure on design tools. With 6G now moving from concept into active research, engineers face a problem: the standards are evolving, the propagation models are more complex, and system designs depend increasingly on intelligent algorithms.
Traditional tools are split. One set is built for link-level modelling. Another is used for system studies. Engineers often have to run both and then try to connect the results by hand. That approach is slow and leaves gaps, especially when AI and machine learning are part of the design.
Keysight’s WirelessPro Platform
Keysight has introduced WirelessPro as a way to close those gaps. The platform provides an environment where modelling, prototyping, and validation sit side by side. Engineers can look at detailed physical layer behaviour, scale up to full network scenarios, and stay aligned with the latest 3GPP specifications.
The headline feature is native AI and ML integration. Instead of treating machine learning models as external experiments, WirelessPro lets researchers place them directly into the physical layer. That makes it possible to evaluate how a neural receiver or AI-driven beam management routine performs under realistic channel conditions, rather than only in isolated tests.
Bridging Detail and System-Level Design
WirelessPro is structured to give engineers flexibility in how they run simulations. It supports both link-level analysis and system-level studies. Developers can combine physical layer signal processing with event-driven scenarios such as handovers or control signalling. The result is a workflow that looks much closer to how networks behave in practice.
Extensibility has also been built in. Python and C++ APIs allow teams to bring in their own modules, prototype ideas rapidly, and connect with external code libraries. For researchers, this reduces the friction between theory and system validation.
Why This Matters for 6G
The jump from 5G to 6G is unlikely to be incremental. AI is expected to influence everything from channel estimation and prediction to beam steering and mobility management. Evaluating those techniques in isolation is not enough. They need to be tested in realistic scenarios, and the results need to align with evolving standards.
That is the role Keysight wants WirelessPro to play. By embedding AI into a standards-ready platform, the tool gives engineers a more accurate view of how future networks might perform. It also shortens design cycles by reducing the need to switch between disconnected environments.
A Step Toward Smarter Research
For engineers, the appeal lies in predictability and speed. WirelessPro cannot remove the complexity of 6G, but it can streamline the process of exploring new ideas and validating them under controlled, realistic conditions. That kind of capability will be essential as researchers push toward the next wave of wireless communication.
Learn more and read the original article on www.keysight.com
Image credit: Keysight Technologies
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