UBC Okanagan engineering professor Dr. Anas Chaaban is part of a team researching how to improve wireless networks as AI and 6G technologies come online.
Wireless communication is about to get stronger, clearer and more secure thanks to a new idea from UBC Okanagan researchers.
Dr. Anas Chaaban and his team in the School of Engineering are exploring a method to improve the way stacked intelligent surfaces (SIS) can process electromagnetic waves more efficiently.
SIS is an emerging alternative to conventional wireless hardware, Dr. Chaaban says, as layers of specially engineered materials are used to directly manipulate electromagnetic waves.
“Electromagnetic waves travel through special surfaces that consist of several elements. These elements mimic neurons in a computerized neural network,” Dr. Chaaban says. “As the waves move through the surface, each element changes them slightly. When the waves come out, they are captured by antennas that send the signals to digital processors for further analysis.”
Unlike traditional systems that rely on complex and power-hungry circuitry, SIS technology enables fast, low-energy signal processing by controlling how signals propagate through space.
This new research, published recently in IEEE Wireless Communications, introduces a nonlinear architecture, enabling these surfaces to behave more like artificial neural networks. By incorporating nonlinear behaviour into each element, the system can process signals in more complex ways—similar to how modern AI systems handle data.
Until now, most SIS designs have relied on linear operations, so they could only perform relatively simple signal transformations. As a result, these designs cannot take full advantage of advanced communication techniques.
“Nonlinearity unlocks a fundamentally new capability for intelligent surfaces, allowing them to perform tasks that linear systems simply cannot achieve,” says Omran Abbas, who is the study’s co-author and a UBCO doctoral student.
The idea of using an SIS in this way is not new, he adds, but by using the nonlinear elements, the system can have more intelligence to perform AI-like operations.
In a simulated wireless system, the nonlinear system demonstrated improved communication reliability, reducing symbol error rates compared to conventional designs.
The improvement comes from the surface’s ability to create complex wave patterns that are more resilient to noise and interference.
Dr. Loïc Markley, a co-investigator on the project with a background in periodic structures and metamaterials, says they are working on the physical design of a non-linear unit cell to build a prototype.
“We are very excited to design a system that incorporates non-linear responses so we can test our theoretical predictions in a real-world environment,” he says.
Dr. Chaaban adds that beyond performance gains, the technology also shows promise for enhanced wireless security as these non-linear transformations are characteristically harder to predict and harder for unintended receivers to intercept or decode signals.
Although more research is needed to validate real-world deployments, the findings highlight the untapped potential of non-linear intelligent surfaces as a powerful new tool for next-generation communication systems.
“This innovation could play a key role in enabling future wireless technologies, including 6G communications,” Dr. Chaaban says.
“We are analyzing the ideas and investigating them further, and we are also working on testing a nonlinear SIS. This technology could significantly improve reliability, efficiency and security in next-generation networks.”
