Utilization of Reconfigurable Intelligent Surfaces with Context Information: Use Cases
Łukasz Kułacz
TL;DR
This work investigates how reconfigurable intelligent surfaces (RIS) can augment wireless performance in urban-like environments by steering reflections through simple angle control, and how access to context information about RIS settings enhances outcomes. Using a 2D ray-tracing scenario with three use cases—spectrum occupancy detection, received-signal-level improvement, and interference reduction—the study shows that even basic RIS control can yield meaningful gains, and that context-aware RIS adaptation substantially boosts detection accuracy, reception probability, and interference mitigation. The results demonstrate significant gains when RIS configurations are explored and chosen based on receiver feedback, with notable improvements across all use cases when combining them. Overall, RIS-enabled, context-informed control presents a flexible approach to improving sensing, communication, and interference management in complex propagation environments.
Abstract
In terms of complex radio environments especially in dense urban areas, a very interesting topic is considered - the utilization of reconfigurable intelligent surfaces. Basically, based on simple controls of the angle of reflection of the signal from the surface, it is possible to achieve different effects in a radio communication system. Maximizing or minimizing the received power at specific locations near the reflecting surface is the most important effect. Thanks to this, it is possible to: receive a signal in a place where it was not possible, detect spectrum occupancy in a place where the sensor could not make a correct detection, or minimize interference in a specific receiver. In this paper, all three concepts are presented, and, using a simple ray tracing simulation, the potential profit in each scenario is shown. In addition, a scenario was analyzed in which several of the aforementioned situations are combined.