Cognitive radio (CR) is considered a primary technology for spectrum usage efficiency and dynamic spectrum management. Spectrum sensing is an essential cognitive radio cycle function. Recently, reconfigurable intelligent surfaces (RIS) technology has emerged as a promising new enabler of 6G wireless communication, with the ability to control signal propagation and increase signal coverage and spectrum management. This paper investigates how integrating RISs with CR can improve spectral efficiency. First, we optimize the RIS parameters by identifying the optimal transmit powers and number of RIS antennas. Then, we compare the novel RIS technology with the traditional decode-and-forward (DF) relaying technology. Next, we investigate how adopting RIS can enhance spectral efficiency. Finally, we demonstrate how integrating the novel technology of reconfigurable intelligent surfaces with CR can significantly increase spectrum detection, the most crucial step in the cognitive radio process. Simulation studies indicate that RIS is more energy-efficient than SISO and DF-relay communications in various setups. Moreover, by boosting spectrum sensing capability in CR situations, RISs can significantly enhance the efficiency of frequency spectrum usage.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Reconfigurable Intelligent Surfaces and DF-relay Improved Spectral Efficiency in Cognitive Radio Networks


    Contributors:


    Publication date :

    2023-06-01


    Size :

    1578602 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Reconfigurable Intelligent Surface Enhanced Cognitive Radio Networks

    He, Jinglian / Yu, Kaiqiang / Zhou, Yong et al. | IEEE | 2020


    Relay Selection for Improved Security in Cognitive Relay Networks with Artificial Noise

    Jia, Shaobo / Zhang, Jiayan / Zhao, Honglin et al. | IEEE | 2018


    Pattern Reconfigurable Antenna for Cognitive Radio

    Patriotis, M. / Ayoub, F.N. / Christodoulou, C. G. | IEEE | 2021



    Enhancing UAV-Based Public Safety Networks with Reconfigurable Intelligent Surfaces

    Jaafar, Wael / Bariah, Lina / Muhaidat, Sami et al. | Springer Verlag | 2022