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2023 | OriginalPaper | Buchkapitel

Reconfigurable Intelligent Surface-Enabled Energy-Efficient Cooperative Spectrum Sensing

verfasst von : Girraj Sharma, Sudarshan Kumar Jain, Sandeep Vyas, Anand Nayyar

Erschienen in: Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security

Verlag: Springer Nature Singapore

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Abstract

By adjusting its electric and magnetic properties, the reconfigurable intelligent surface (RIS) can control how electromagnetic waves propagate. The characteristics of radio channels can be altered by using these surfaces in a particular application. Cognitive radio (CR) is a revolutionary method that allows a transceiver to find vacant radio spectrums. The transceiver then chooses a free channel rather than using the ones that are in use at the moment. The radio frequency (RF) spectrum may become more productive as a result of this. The RIS-based CR system may make use of both technologies’ advantages. The aim of the paper is to evaluate the energy efficiency (EE) performance of RIS-enabled CSS. The EE is the all-inclusive statistic that takes into account all system characteristics and represents the CSS system performance. A system model that establishes the EE of CSS with RIS support has been put out. The EE performance has been examined in relation to the number of sensor users, the detector threshold, and the sensing time. The findings indicate that there is an optimum number of reflecting elements at which maximum EE is achieved.

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Metadaten
Titel
Reconfigurable Intelligent Surface-Enabled Energy-Efficient Cooperative Spectrum Sensing
verfasst von
Girraj Sharma
Sudarshan Kumar Jain
Sandeep Vyas
Anand Nayyar
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-1479-1_12