Abstract
Spectrum sensing is the first step in the cognitive cycle and represents the most critical function in cognitive radio-based dynamic spectrum management. Recently, a new technology termed reconfigurable smart surfaces has emerged as a promising enabler of smart radio environments to control the signal propagation further and improve signal coverage and spectrum management capabilities. This paper investigates how the adoption of reconfigurable intelligent surfaces (RISs) can increase spectral efficiency in a cognitive radio environment. To this end, we optimize the parameters of the new RIS technology by determining the optimal transmit powers and the optimal number of these elements. Next, we derive expressions for the false alarm and detection probabilities of the cognitive radio (CR) node and the transmission probability and throughput. Finally, we demonstrate how the detection phase of the CR spectrum can be improved by employing RIS technology at the UP. Simulation results show that RIS achieves higher energy efficiency than SISO communication for different configurations. In addition, the RISs can significantly improve the wireless communication quality and spectrum sensing performance in a CR environment.
Published Version
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