Sunday 09 March 2025
The quest for more efficient wireless communication systems has led researchers to explore innovative ways to harness the power of intelligent surfaces. These surfaces, also known as reconfigurable intelligent surfaces (RIS), can be dynamically adjusted to optimize signal transmission and reception. In a recent study, scientists have proposed a novel approach that combines antenna selection with RIS technology to enhance the performance of dual-function radar-communication systems.
Dual-function radar-communication systems aim to integrate both radar sensing and wireless communication capabilities into a single device. This approach has gained significant attention in recent years due to its potential to improve spectrum efficiency, reduce costs, and expand the range of applications for wireless devices. However, designing such systems poses unique challenges, as they require balancing competing demands from both radar and communication functions.
To address this challenge, researchers have turned to RIS technology. By adjusting the phase shifts of the surface’s elements, RIS can effectively change the propagation environment, allowing it to optimize signal transmission and reception. In the context of dual-function radar-communication systems, RIS can be used to enhance both radar sensing and wireless communication capabilities.
The proposed approach combines antenna selection with RIS technology to achieve this goal. Antenna selection involves choosing a subset of antennas from a larger array to transmit or receive signals. By carefully selecting which antennas to use, researchers can optimize the performance of the system for specific tasks, such as radar sensing or wireless communication.
In addition to antenna selection, the proposed approach utilizes a novel algorithm that takes into account the phase shifts of the RIS elements. This algorithm allows the system to dynamically adjust the RIS’s configuration in real-time, ensuring optimal performance for both radar sensing and wireless communication functions.
The researchers tested their approach using simulations and found that it significantly improved the performance of dual-function radar-communication systems. Specifically, they demonstrated that the proposed approach can enhance the signal-to-noise ratio (SNR) of the system by up to 10 decibels, while also reducing the computational complexity of the system.
The implications of this research are significant, as it could pave the way for more efficient and effective wireless communication systems. By combining antenna selection with RIS technology, researchers can design systems that better balance competing demands from both radar and communication functions. This approach has far-reaching potential, from enabling advanced applications in fields like autonomous vehicles to improving the performance of wireless devices in crowded environments.
Cite this article: “Enhancing Dual-Function Radar-Communication Systems with Reconfigurable Intelligent Surfaces and Antenna Selection”, The Science Archive, 2025.
Wireless Communication, Reconfigurable Intelligent Surfaces, Radar-Sensing, Antenna Selection, Dual-Function Systems, Signal Transmission, Signal Reception, Phase Shifts, Algorithm Development, Computational Complexity, Snr Enhancement.
